We are seeking a skilled Investment Banking - M&A Expert to enhance xAI's AI models by providing high-quality data annotations and inputs tailored to M&A investment banking contexts.

In this role, you will leverage your expertise in mergers, acquisitions, divestitures, financial modeling, valuation techniques, deal structuring, due diligence, pitch books, and fairness opinions to support the training of AI systems.

You will collaborate with technical teams to refine annotation tools and curate impactful data, ensuring our models effectively capture real-world M&A dynamics.

This role requires adaptability, strong analytical skills, and a passion for driving innovation in a fast-paced environment.

Responsibilities

• Utilize proprietary software to provide accurate input and labels for M&A investment banking projects, ensuring high-quality data for AI model training.
• Deliver curated, high-quality data for scenarios involving mergers, acquisitions, divestitures, financial modeling, valuation techniques (e.g., DCF, comparables, precedent transactions), deal structuring, due diligence, pitch books, and fairness opinions.
• Collaborate with technical staff to support the training of new AI tasks and contribute to the development of innovative technologies.
• Assist in designing and improving efficient annotation tools tailored for M&A investment banking data.
• Select and analyze complex problems in M&A investment banking fields aligned with your expertise to enhance AI model performance.
• Interpret, analyze, and execute tasks based on evolving instructions, maintaining precision and adaptability.

Basic Qualifications

• Professional experience in M&A investment banking or related fields (e.g., M&A advisor, analyst, associate, vice president or director in investment banking focused on mergers and acquisitions).
• Proficiency in reading and writing informal and professional English.
• Strong communication, interpersonal, analytical, and organizational skills.
• Excellent reading comprehension and ability to exercise autonomous judgment with limited data.
• Passion for technological advancements and innovation in M&A investment banking.

Preferred Skills and Experience

• Relevant certification or advanced training (e.g., Series 7, Series 63, Series 79, CFA, or similar finance-related certification).
• Experience mentoring or training others in M&A investment banking practices, such as financial modeling, valuation, or deal execution.
• Comfort with recording audio or video sessions for data collection.
• Familiarity with AI or data annotation workflows in a technical setting.

Compensation and Benefits

US based candidates: $45/hour - $100/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location and jurisdiction. Benefits for eligible U.S. based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role specific information will be provided to you during the interview process.

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Your responsibilities will include:

• Utilizing proprietary software to provide accurate input and labels for tax law projects, ensuring high-quality data for AI model training.
• Delivering curated, high-quality data for tax law scenarios involving complex structures for clients, including trust and estate taxation documents, charitable gifting strategies and agreements, private foundation formation and compliance materials, tax opinions on diverse assets (real estate, private equity, art, cryptocurrency, and alternative investments), wealth transfer planning (GRATs, IDGTs, dynasty trusts), and substantial estate and gift tax filings.
• Collaborating with technical staff to support the training of new AI tasks and contribute to the development of innovative technologies.
• Assisting in designing and improving efficient annotation tools tailored for tax law and wealth planning documentation.
• Selecting and analyzing complex problems in tax law fields aligned with your expertise to enhance AI model performance.
• Interpreting, analyzing, and executing tasks based on evolving instructions, maintaining precision and adaptability.

To be successful in this role, you will need:

• A Juris Doctor (J.D.) degree and active admission to a state bar.
• Professional experience at a top-tier white-shoe law firm and/or a leading boutique tax firm.
• Direct experience in sophisticated tax law work, including drafting and reviewing trust and estate planning documents, private foundation materials, charitable gifting strategies, complex wealth transfer structures, and tax opinions on diverse asset classes.
• Strong understanding of federal and state income taxation, estate and gift taxation, private client services, and regulatory compliance in high-wealth scenarios.
• Proficiency in reading and writing informal and professional English.
• Strong communication, interpersonal, analytical, and organizational skills.
• Excellent reading comprehension and ability to exercise autonomous judgment with limited data.
• Passion for technological advancements and innovation in legal practice.

Preferred qualifications include extensive transactional experience in wealth transfer taxation, trust and estate planning, private foundations, or charitable giving strategies at a white-shoe or boutique tax firm, proven track record handling tax implications of complex asset portfolios and substantial wealth transfers, experience reviewing tax opinions, foundation compliance filings, and planning documents for accuracy, completeness, and regulatory compliance, comfort with recording audio or video sessions for data collection, and familiarity with AI or data annotation workflows in a technical setting.

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In this role, you will leverage your expertise in regulatory compliance, contract analysis, legal research, and dispute resolution to support the training of AI systems. You will collaborate with technical teams to refine annotation tools and curate impactful data, ensuring our models effectively capture real-world legal and compliance dynamics.

Responsibilities:

• Utilize proprietary software to provide accurate input and labels for legal and compliance projects, ensuring high-quality data for AI model training.
• Deliver curated, high-quality data for scenarios involving regulatory compliance, contract analysis, legal research, and dispute resolution.
• Collaborate with technical staff to support the training of new AI tasks and contribute to the development of innovative technologies.
• Assist in designing and improving efficient annotation tools tailored for legal and compliance data.
• Select and analyze complex problems in legal and compliance fields aligned with your expertise to enhance AI model performance.
• Interpret, analyze, and execute tasks based on evolving instructions, maintaining precision and adaptability.

Basic Qualifications:

• Must have a J.D. (Juris Doctor) or foreign equivalent.
• At least 2 years of practicing law in one or more of the following practice areas: Criminal Law, Civil Litigation, Torts, International Law, Health Law, Civil Rights Law, Constitutional Law, Construction Law, Education Law, Employment and Labor Law, Environmental Law, Corporate Law, Business Law, Family Law, Immigration Law, Intellectual Property Law, Patent Law, Real Estate Law, Tax Law, Bankruptcy Law, Administrative Law, Antitrust Law, Privacy and Data Protection Law, Cybersecurity Law, Energy Law.
• Strong legal analysis and writing skills, including the ability to draft clear, concise, and well-reasoned legal documents and memoranda
• Proficiency in reading and writing informal and professional English.
• Strong communication, interpersonal, analytical, and organizational skills.
• Excellent reading comprehension and ability to exercise autonomous judgment with limited data.
• Passion for technological advancements and innovation in legal processes.
• Relevant certification, license, or advanced training (bar admission or similar legal certification)

Preferred Skills and Experience:

• Experience mentoring or training others in legal practices.
• Comfort with recording audio or video sessions for data collection.
• Familiarity with AI or data annotation workflows in a technical setting.

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In this role, you will leverage your expertise in structured finance and credit products, including securitization structures (ABS, CMBS, MBS, CLOs, CDOs), syndicated and leveraged loans, and project finance to support the training of advanced AI systems.

You will collaborate with technical teams to refine annotation tools and curate impactful data, ensuring our models effectively capture real-world financial analysis dynamics.

Responsibilities:

• Utilize proprietary software to provide accurate input and labels for structured finance projects, ensuring high-quality data for AI model training.

• Deliver curated, high-quality data for structured finance scenarios involving securitization structures (ABS, CMBS, MBS, CLOs, CDOs), syndicated/leveraged loans, and project finance across deal structuring, credit enhancement mechanisms, cash flow waterfall modeling, tranche valuation, collateral and portfolio performance analysis, and transaction documentation.

• Collaborate with technical staff to support the training of new AI tasks and contribute to the development of innovative technologies.

• Assist in designing and improving efficient annotation tools tailored for structured finance data.

• Select and analyze complex problems in structured finance fields aligned with your expertise to enhance AI model performance.

• Interpret, analyze, and execute tasks based on evolving instructions, maintaining precision and adaptability.

Basic Qualifications:

• Professional experience in structured finance or related fields (e.g., investment banker, structurer, credit risk manager, rating agency analyst, structured credit trader, ABS/CMBS/MBS/CLO portfolio manager, or surveillance/operations analyst)

• Proficiency in reading and writing informal and professional English.

• Strong communication, interpersonal, analytical, and organizational skills.

• Excellent reading comprehension and ability to exercise autonomous judgment with limited data.

• Passion for technological advancements and innovation in financial analysis.

Preferred Skills and Experience:

• Relevant certification or advanced training (e.g., CFA, FRM, Series 7, Series 63, or similar financial certification).

• Experience mentoring or training others in structured finance or related credit practices.

• Comfort with recording audio or video sessions for data collection.

• Familiarity with AI or data annotation workflows in a technical setting.

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.

• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average most projects may involve at least 10 hours per week to achieve deliverables effectively though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.

• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role specific needs.

• For US based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time.

• We are unable to provide visa sponsorship.

• For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits:

US based candidates: $45/hour - $100/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location and jurisdiction. Benefits for eligible U.S. based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role specific information will be provided to you during the interview process.

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In this role, you will leverage your expertise in mergers, acquisitions, divestitures, financial modeling, valuation techniques, deal structuring, due diligence, pitch books, and fairness opinions to support the training of AI systems.

Responsibilities:

• Utilize proprietary software to provide accurate input and labels for M&A investment banking projects, ensuring high-quality data for AI model training.
• Deliver curated, high-quality data for scenarios involving mergers, acquisitions, divestitures, financial modeling, valuation techniques (e.g., DCF, comparables, precedent transactions), deal structuring, due diligence, pitch books, and fairness opinions.
• Collaborate with technical staff to support the training of new AI tasks and contribute to the development of innovative technologies.
• Assist in designing and improving efficient annotation tools tailored for M&A investment banking data.
• Select and analyze complex problems in M&A investment banking fields aligned with your expertise to enhance AI model performance.
• Interpret, analyze, and execute tasks based on evolving instructions, maintaining precision and adaptability.

Basic Qualifications:

• Professional experience in M&A investment banking or related fields (e.g., M&A advisor, analyst, associate, vice president or director in investment banking focused on mergers and acquisitions).
• Proficiency in reading and writing informal and professional English.
• Strong communication, interpersonal, analytical, and organizational skills.
• Excellent reading comprehension and ability to exercise autonomous judgment with limited data.
• Passion for technological advancements and innovation in M&A investment banking.

Preferred Skills and Experience:

• Relevant certification or advanced training (e.g., Series 7, Series 63, Series 79, CFA, or similar finance-related certification).
• Experience mentoring or training others in M&A investment banking practices, such as financial modeling, valuation, or deal execution.
• Comfort with recording audio or video sessions for data collection.
• Familiarity with AI or data annotation workflows in a technical setting.

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.
• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average most projects may involve at least 10 hours per week to achieve deliverables effectively though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.
• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role specific needs.
• For US based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time.
• We are unable to provide visa sponsorship.
• For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits:

US based candidates: $45/hour - $100/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location and jurisdiction. Benefits for eligible U.S. based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role specific information will be provided to you during the interview process.

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In this role, you will leverage your expertise in debt capital markets transactions, bond offerings, syndicated loans, credit facilities, debt refinancing, liability management exercises, covenant structuring, offering memorandum drafting, roadshows, and debt issuance processes to support the training of AI systems.

Responsibilities:

• Utilize proprietary software to provide accurate input and labels for DCM investment banking projects, ensuring high-quality data for AI model training.
• Deliver curated, high-quality data for scenarios involving debt capital markets transactions, bond offerings, syndicated loans, credit facilities, debt refinancing, liability management exercises, covenant structuring, offering memorandum drafting, roadshows, and debt issuance processes.
• Collaborate with technical staff to support the training of new AI tasks and contribute to the development of innovative technologies.
• Assist in designing and improving efficient annotation tools tailored for DCM investment banking data.
• Select and analyze complex problems in DCM investment banking fields aligned with your expertise to enhance AI model performance.
• Interpret, analyze, and execute tasks based on evolving instructions, maintaining precision and adaptability.

Basic Qualifications:

• Professional experience in DCM investment banking or related fields (e.g., DCM analyst, associate, vice president or director in investment banking focused on debt capital markets or related fields).
• Proficiency in reading and writing informal and professional English.
• Strong communication, interpersonal, analytical, and organizational skills.
• Excellent reading comprehension and ability to exercise autonomous judgment with limited data.
• Passion for technological advancements and innovation in DCM investment banking.

Preferred Skills and Experience:

• Relevant certification or advanced training (e.g., Series 7, Series 63, Series 79, CFA, or similar finance-related certification).
• Experience mentoring or training others in DCM investment banking practices, such as financial modeling, credit analysis, debt structuring, or debt syndication.
• Comfort with recording audio or video sessions for data collection.
• Familiarity with AI or data annotation workflows in a technical setting.

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.
• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average most projects may involve at least 10 hours per week to achieve deliverables effectively though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.
• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role specific needs.
• For US based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time.
• We are unable to provide visa sponsorship.
• For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits:

US based candidates: $45/hour - $100/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location and jurisdiction. Benefits for eligible U.S. based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role specific information will be provided to you during the interview process.

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In this role, you will leverage your expertise in private credit transactions and analysis, including direct lending, unitranche facilities, mezzanine financing, sponsored lending, middle market credit underwriting, loan documentation and structuring, covenant negotiation, collateral analysis, portfolio monitoring, distressed and special situations investing, asset-based lending, and recovery analysis to support the training of AI systems.

You will collaborate with technical teams to refine annotation tools and curate impactful data, ensuring our models effectively capture real-world private credit market dynamics.

This role requires adaptability, strong analytical skills, and a passion for driving innovation in a fast-paced environment.

Responsibilities:

• Utilize proprietary software to provide accurate input and labels for private credit projects, ensuring high-quality data for AI model training.
• Deliver curated, high-quality data for scenarios involving direct lending transactions, credit underwriting and analysis, loan structuring, covenant negotiation, sponsor due diligence, portfolio company monitoring, collateral valuation, distressed debt investing, and special situations analysis.
• Collaborate with technical staff to support the training of new AI tasks and contribute to the development of innovative technologies.
• Assist in designing and improving efficient annotation tools tailored for private credit investment data.
• Select and analyze complex problems in private credit markets aligned with your expertise to enhance AI model performance.
• Interpret, analyze, and execute tasks based on evolving instructions, maintaining precision and adaptability.

Basic Qualifications:

• Professional experience in private credit or related fields (e.g., credit analyst, underwriter, portfolio manager, or investment professional at direct lending funds, BDCs, credit-focused private equity firms, or specialty finance companies).
• Proficiency in reading and writing informal and professional English.
• Strong communication, interpersonal, analytical, and organizational skills.
• Excellent reading comprehension and ability to exercise autonomous judgment with limited data.
• Passion for technological advancements and innovation in private credit markets.

Preferred Skills and Experience:

• Relevant certification or advanced training (e.g., CFA, CAIA, FRM or similar finance-related certification).
• Experience mentoring or training others in private credit practices, such as credit underwriting, loan structuring, covenant analysis, or portfolio monitoring.
• Comfort with recording audio or video sessions for data collection.
• Familiarity with AI or data annotation workflows in a technical setting.

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.
• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average most projects may involve at least 10 hours per week to achieve deliverables effectively though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.
• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role specific needs.
• For US based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time.
• We are unable to provide visa sponsorship.
• For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits:

US based candidates: $45/hour - $100/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location and jurisdiction. Benefits for eligible U.S. based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role specific information will be provided to you during the interview process.

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In this role, you will leverage your expertise in fixed income trading and analysis, including government and corporate bond trading, interest rate derivatives, credit analysis, yield curve construction, portfolio management, securitized products, relative value analysis, duration and convexity hedging, spread analysis, fixed income, currencies and commodities (FICC) research, and fixed income pricing methodologies to support the training of AI systems.

You will collaborate with technical teams to refine annotation tools and curate impactful data, ensuring our models effectively capture real-world fixed income market dynamics.

Responsibilities:

• Utilize proprietary software to provide accurate input and labels for fixed income projects, ensuring high-quality data for AI model training.
• Deliver curated, high-quality data for scenarios involving fixed income trading, bond valuation, interest rate products, credit spread analysis, portfolio construction, securitized products, yield curve strategies, hedging techniques, and market-making activities.
• Collaborate with technical staff to support the training of new AI tasks and contribute to the development of innovative technologies.
• Assist in designing and improving efficient annotation tools tailored for fixed income market data.
• Select and analyze complex problems in fixed income markets aligned with your expertise to enhance AI model performance.
• Interpret, analyze, and execute tasks based on evolving instructions, maintaining precision and adaptability.

Basic Qualifications:

• Professional experience in fixed income markets or related fields (e.g., FICC research, fixed income trader, portfolio manager, credit research analyst, sales professional, or quantitative analyst focused on rates, credit, or securitized products).
• Proficiency in reading and writing informal and professional English.
• Strong communication, interpersonal, analytical, and organizational skills.
• Excellent reading comprehension and ability to exercise autonomous judgment with limited data.
• Passion for technological advancements and innovation in fixed income markets.

Preferred Skills and Experience:

• Relevant certification or advanced training (e.g., Series 7, Series 63, CFA, FRM or similar finance-related certification).
• Experience mentoring or training others in fixed income practices, such as bond valuation, yield analysis, duration management, or trading strategies.
• Comfort with recording audio or video sessions for data collection.
• Familiarity with AI or data annotation workflows in a technical setting.

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.
• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average most projects may involve at least 10 hours per week to achieve deliverables effectively though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.
• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role specific needs.
• For US based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time.
• We are unable to provide visa sponsorship.
• For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits:

US based candidates: $45/hour - $100/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location and jurisdiction. Benefits for eligible U.S. based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role specific information will be provided to you during the interview process.

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You will collaborate with technical teams to refine annotation tools and curate impactful data, ensuring our models effectively capture real-world fixed income market dynamics. This role requires adaptability, strong analytical skills, and a passion for driving innovation in a fast-paced environment.

Responsibilities:

• Utilize proprietary software to provide accurate input and labels for fixed income projects, ensuring high-quality data for AI model training.
• Deliver curated, high-quality data for scenarios involving fixed income trading, bond valuation, interest rate products, credit spread analysis, portfolio construction, securitized products, yield curve strategies, hedging techniques, and market-making activities.
• Collaborate with technical staff to support the training of new AI tasks and contribute to the development of innovative technologies.
• Assist in designing and improving efficient annotation tools tailored for fixed income market data.
• Select and analyze complex problems in fixed income markets aligned with your expertise to enhance AI model performance.
• Interpret, analyze, and execute tasks based on evolving instructions, maintaining precision and adaptability.

Basic Qualifications:

• Professional experience in fixed income markets or related fields (e.g., FICC research, fixed income trader, portfolio manager, credit research analyst, sales professional, or quantitative analyst focused on rates, credit, or securitized products).
• Proficiency in reading and writing informal and professional English.
• Strong communication, interpersonal, analytical, and organizational skills.
• Excellent reading comprehension and ability to exercise autonomous judgment with limited data.
• Passion for technological advancements and innovation in fixed income markets.

Preferred Skills and Experience:

• Relevant certification or advanced training (e.g., Series 7, Series 63, CFA, FRM or similar finance-related certification).
• Experience mentoring or training others in fixed income practices, such as bond valuation, yield analysis, duration management, or trading strategies.
• Comfort with recording audio or video sessions for data collection.
• Familiarity with AI or data annotation workflows in a technical setting.

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Responsibilities: Use proprietary software to deliver precise inputs, labels, and annotations for equity research projects, producing high-quality training data for AI models. Create and curate realistic, high-fidelity scenarios involving sector and company analysis, financial modeling, valuation methodologies (DCF, comparable companies, precedent transactions), earnings forecasts, investment thesis development, and research report preparation. Develop detailed examples of coverage initiation, earnings analysis, estimate revisions, industry-specific data analysis, and investment recommendation frameworks. Partner with technical staff to support the development of new AI tasks and contribute to innovative tooling. Help design and refine efficient annotation tools tailored to equity research workflows. Identify, analyze, and break down complex investment analysis problems aligned with your professional experience to improve model performance. Execute tasks accurately while maintaining consistency and adapting to new requirements.

Basic Qualifications: Minimum of 2 years of professional experience in sell-side or buy-side equity research, with demonstrated sector coverage responsibility. Proficiency in financial modeling, valuation techniques, and financial statement analysis. Strong command of written and spoken English (informal and professional). Excellent communication, interpersonal, analytical, and organizational skills. Superior reading comprehension and ability to exercise sound independent judgment with incomplete or ambiguous information. Genuine interest in technological innovation and its application to investment research.

Preferred Skills and Experience: Relevant certifications (e.g., FINRA licenses such as Series 7/63/86/87, current or expired). Familiarity with Bloomberg, FactSet, Capital IQ, or similar research platforms. Experience writing and publishing research notes, earnings summaries, or coverage reports for institutional clients. Experience mentoring or training junior associates in research methodologies, modeling best practices, or report writing. Quantitative mindset with ability to integrate structured data insights into fundamental analysis. Comfort recording audio or video sessions for data collection purposes. Prior exposure to AI, machine learning, data visualization, or data annotation workflows.

Location and Other Expectations: Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit. For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs. For US-based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time. We are unable to provide visa sponsorship. For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits: US-based candidates: $45/hour - $100/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process. Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process.

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In this role, you will leverage your expertise in credit risk assessment and analysis, including financial statement analysis, credit risk modeling, covenant analysis, leverage and coverage ratio calculations, industry and company research, cash flow analysis, debt capacity assessments, credit memo preparation, counterparty risk evaluation, rating methodologies, credit monitoring, and risk mitigation strategies to support the training of AI systems.

You will collaborate with technical teams to refine annotation tools and curate impactful data, ensuring our models effectively capture real-world private credit analysis dynamics.

This role requires adaptability, strong analytical skills, and a passion for driving innovation in a fast-paced environment.

Responsibilities:

• Utilize proprietary software to provide accurate input and labels for private credit projects, ensuring high-quality data for AI model training.
• Deliver curated, high-quality data for scenarios involving financial statement analysis, credit risk assessment, covenant compliance evaluation, debt capacity modeling, industry benchmarking, cash flow projections, rating analysis, and credit monitoring activities.
• Collaborate with technical staff to support the training of new AI tasks and contribute to the development of innovative technologies.
• Assist in designing and improving efficient annotation tools tailored for credit analysis data.
• Select and analyze complex problems in credit analysis aligned with your expertise to enhance AI model performance.
• Interpret, analyze, and execute tasks based on evolving instructions, maintaining precision and adaptability.

Basic Qualifications:

• Professional experience in credit analysis or related fields (e.g., credit analyst, underwriter, or risk professional at commercial banks, investment banks, rating agencies, insurance companies, or corporate credit departments).
• Proficiency in reading and writing informal and professional English.
• Strong communication, interpersonal, analytical, and organizational skills.
• Excellent reading comprehension and ability to exercise autonomous judgment with limited data.
• Passion for technological advancements and innovation in credit analysis.

Preferred Skills and Experience:

• Relevant certification or advanced training (e.g., CFA, FRM, CRC or similar finance-related certification).
• Experience mentoring or training others in private credit practices, such as credit underwriting, loan structuring, covenant analysis, or portfolio monitoring.
• Comfort with recording audio or video sessions for data collection.
• Familiarity with AI or data annotation workflows in a technical setting.

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.
• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average most projects may involve at least 10 hours per week to achieve deliverables effectively though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.
• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role specific needs.
• For US based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time.
• We are unable to provide visa sponsorship.
• For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits:

US based candidates: $45/hour - $100/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location and jurisdiction. Benefits for eligible U.S. based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role specific information will be provided to you during the interview process.

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xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge.

We are seeking an experienced corporate finance professional to join us as an AI Corporate Finance Data Specialist. You will draw on your deep expertise in strategic financial planning, capital allocation, budgeting and forecasting, investor relations, and corporate development (including both organic and inorganic growth) to create high-quality data annotations, real-world examples, and detailed inputs that train and refine xAI's AI models.

Responsibilities

• Use proprietary software to deliver precise inputs, labels, and annotations for corporate finance projects, producing high-quality training data for AI models.

• Create and curate realistic, high-fidelity scenarios involving financial planning & analysis (FP&A), budgeting, forecasting, variance analysis, capital structure decisions, investor communications, earnings call preparation, corporate development (M&A strategy, integration planning, synergy modeling), capital raising, and treasury management.

• Partner with technical staff to support the development of new AI tasks and contribute to innovative tooling.

• Help design and refine efficient annotation tools tailored to corporate finance workflows.

• Identify, analyze, and break down complex corporate finance problems aligned with your professional experience to improve model performance.

• Execute tasks accurately while maintaining consistency and adapting to new requirements.

Basic Qualifications

• Strong command of written and spoken English (informal and professional).

• Excellent communication, interpersonal, analytical, and organizational skills.

• Superior reading comprehension and ability to exercise sound independent judgment with incomplete or ambiguous information.

• Genuine interest in technological innovation and its application to corporate finance.

Preferred Skills and Experience

• Relevant certifications (e.g., CPA, CFA, or equivalent finance credentials).

• Experience mentoring or training junior team members in corporate finance practices, such as financial modeling, forecasting, investor presentations, or deal execution.

• Comfort recording audio or video sessions for data collection purposes.

• Prior exposure to AI, machine learning, or data annotation workflows.

Location and Other Expectations

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.

• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average most projects may involve at least 10 hours per week to achieve deliverables effectively though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.

• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role specific needs.

• For US based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time.

• We are unable to provide visa sponsorship.

• For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits

US based candidates: $45/hour - $100/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location and jurisdiction. Benefits for eligible U.S. based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role specific information will be provided to you during the interview process.

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In this role, you will leverage your expertise in corporate transactions, securities filings, and investment banking legal work to support the training of advanced AI systems. You will collaborate with technical teams to refine annotation tools and curate impactful data, ensuring our models effectively capture real-world legal analysis and corporate documentation dynamics.

Responsibilities:

• Utilize proprietary software to provide accurate input and labels for corporate law and securities projects, ensuring high-quality data for AI model training.
• Deliver curated, high-quality data for corporate law scenarios involving securities filings (10-Ks, 10-Qs, 8-Ks, S-1s), investment banking transaction documentation (prospectuses, offering memoranda, indentures, credit agreements), M&A documentation (merger agreements, purchase agreements, disclosure schedules), corporate governance materials, and regulatory compliance filings.
• Collaborate with technical staff to support the training of new AI tasks and contribute to the development of innovative technologies.
• Assist in designing and improving efficient annotation tools tailored for corporate law and securities documentation.
• Select and analyze complex problems in corporate law and securities fields aligned with your expertise to enhance AI model performance.
• Interpret, analyze, and execute tasks based on evolving instructions, maintaining precision and adaptability.

Basic Qualifications:

• Juris Doctor (J.D.) degree and active admission to a state bar.
• Professional experience at a top-tier white shoe law firm or as legal counsel at a bulge bracket investment bank.
• Direct experience in corporate law and securities work, including drafting and reviewing SEC filings (10-Ks, 10-Qs, 8-Ks, registration statements), investment banking transaction documents (prospectuses, offering memoranda, bond indentures), and/or M&A documentation.
• Strong understanding of securities law, corporate governance, and capital markets transactions.
• Proficiency in reading and writing informal and professional English.
• Strong communication, interpersonal, analytical, and organizational skills.
• Excellent reading comprehension and ability to exercise autonomous judgment with limited data.
• Passion for technological advancements and innovation in legal practice.

Preferred Skills and Experience:

• Transactional experience in debt capital markets, equity capital markets, or M&A at a top law firm or investment bank.
• Experience reviewing disclosure documents for accuracy, completeness, and regulatory compliance.
• Comfort with recording audio or video sessions for data collection.
• Familiarity with AI or data annotation workflows in a technical setting.

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.
• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average most projects may involve at least 10 hours per week to achieve deliverables effectively though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.
• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role specific needs.
• For US based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time.
• We are unable to provide visa sponsorship.
• For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits:

US based candidates: $100/hour - $200/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location and jurisdiction. Benefits for eligible U.S. based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role specific information will be provided to you during the interview process.

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In this role, you will leverage your expertise in complex tax structuring, wealth transfer taxation, trust and estate planning, charitable gifting strategies, private foundations, and the tax implications of diverse assets to support the training of advanced AI systems.

You will collaborate with technical teams to refine annotation tools and curate impactful data, ensuring our models effectively capture real-world tax analysis, sophisticated planning documentation, and high-stakes wealth transfer dynamics.

This role requires adaptability, strong analytical skills, and a passion for driving innovation in a fast-paced environment.

Responsibilities:

• Utilize proprietary software to provide accurate input and labels for tax law projects, ensuring high-quality data for AI model training.

• Deliver curated, high-quality data for tax law scenarios involving complex structures for clients, including trust and estate taxation documents, charitable gifting strategies and agreements, private foundation formation and compliance materials, tax opinions on diverse assets (real estate, private equity, art, cryptocurrency, and alternative investments), wealth transfer planning (GRATs, IDGTs, dynasty trusts), and substantial estate and gift tax filings.

• Collaborate with technical staff to support the training of new AI tasks and contribute to the development of innovative technologies.

• Assist in designing and improving efficient annotation tools tailored for tax law and wealth planning documentation.

• Select and analyze complex problems in tax law fields aligned with your expertise to enhance AI model performance.

• Interpret, analyze, and execute tasks based on evolving instructions, maintaining precision and adaptability.

Required Qualifications:

• Juris Doctor (J.D.) degree and active admission to a state bar.

• Professional experience at a top-tier white-shoe law firm and/or a leading boutique tax firm.

• Direct experience in sophisticated tax law work, including drafting and reviewing trust and estate planning documents, private foundation materials, charitable gifting strategies, complex wealth transfer structures, and tax opinions on diverse asset classes.

• Strong understanding of federal and state income taxation, estate and gift taxation, private client services, and regulatory compliance in high-wealth scenarios.

• Proficiency in reading and writing informal and professional English.

• Strong communication, interpersonal, analytical, and organizational skills.

• Excellent reading comprehension and ability to exercise autonomous judgment with limited data.

• Passion for technological advancements and innovation in legal practice.

Preferred Qualifications:

• Extensive transactional experience in wealth transfer taxation, trust and estate planning, private foundations, or charitable giving strategies at a white-shoe or boutique tax firm.

• Proven track record handling tax implications of complex asset portfolios and substantial wealth transfers.

• Experience reviewing tax opinions, foundation compliance filings, and planning documents for accuracy, completeness, and regulatory compliance.

• Comfort with recording audio or video sessions for data collection.

• Familiarity with AI or data annotation workflows in a technical setting.

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In this role, you will leverage your expertise in patient care coordination, medical billing, administrative workflows, and healthcare operations to support the training of AI systems.

Responsibilities: Provide accurate input and labels for healthcare and administration projects using proprietary software. Deliver curated, high-quality data for scenarios involving patient care coordination, medical billing, administrative workflows, and healthcare operations. Collaborate with technical staff to support the training of new AI tasks and contribute to the development of innovative technologies. Assist in designing and improving efficient annotation tools tailored for healthcare and administration data. Select and analyze complex problems in healthcare and administration fields aligned with your expertise to enhance AI model performance. Interpret, analyze, and execute tasks based on evolving instructions, maintaining precision and adaptability.

Basic Qualifications: Professional experience in healthcare administration or related fields. Proficiency in reading and writing informal and professional English. Strong communication, interpersonal, analytical, and organizational skills. Excellent reading comprehension and ability to exercise autonomous judgment with limited data. Passion for technological advancements and innovation in healthcare and administration processes.

Preferred Skills and Experience: Relevant certification or training in healthcare administration. Experience mentoring or training others in healthcare administration or operational practices. Comfort with recording audio or video sessions for data collection. Familiarity with AI or data annotation workflows in a technical setting.

Location and Other Expectations: Tutor roles may be offered as full-time, part-time, or contractor positions. For contractor positions, hours will vary widely based on project scope and contractor availability. Tutor roles may be performed remotely from any location worldwide. For US-based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time. We are unable to provide visa sponsorship. For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits: US-based candidates: $45/hour - $100/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process. Benefits vary based on employment type, location, and jurisdiction. Specific details and role-specific information will be provided to you during the interview process.

XML job scraping automation by YubHub