This is a fully remote, 1099 independent contractor opportunity with an estimated duration of six months and the potential for extension. To be eligible, candidates must be authorised to work in the United States; visa sponsorship is not available for this role.

About the Program

The Human Frontier Collective (HFC) Fellowship brings together top researchers and domain experts to collaborate on high-impact work that are shaping the future of AI. As an HFC Fellow, you’ll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems,while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers.

Responsibilities

• Collaborative Work: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Design complex clinical scenarios, evaluate model decision-making for safety and accuracy, and shape reasoning frameworks through structured, example-driven feedback.
• HFC Community: Beyond the work, you’ll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains.
• Contribute to Research Publications: Collaborate with Scale’s research team to co-author technical reports and research papers,boosting your academic visibility and professional recognition (e.g., SciPredict, PropensityBench, Professional Reasoning Benchmark).

Requirements

• Education: Medical degree required (MD, DO) with board certification; open to residents, practicing clinicians, or those with extensive clinical experience.
• Specialties: Internal medicine, emergency medicine, radiology, surgery, psychiatry, and related fields.
• Skills: Strong clinical reasoning and writing skills, with the ability to assess complex, nuanced, or edge-case scenarios.
• Professional Mindset: Detail-oriented, innovative thinker with a passion for financial technology and a commitment to collaboration. Prior experience with AI is not required, but a plus.

Benefits

• Advance Medical AI Solutions: Apply your clinical expertise to tackle complex, real-world healthcare challenges where your judgment shapes advanced AI reasoning and patient care decisions.
• Professional Development: High-impact medical experts expand their influence through review projects, advisory roles, and research,while deepening their AI expertise, enhancing clinical reasoning skills, and gaining hands-on experience with cutting-edge healthcare AI technologies.
• Join a Top-Tier Network: Collaborate with a global network of academics and experts to advance responsible AI through impactful, flexible research and training. 80% of our members come from leading institutions.
• Flexible Schedule: Set your own schedule, with flexible 10–40 hour weeks that fit around your life and other commitments.
• Competitive Pay: Project pay rates vary across platforms and are depending on a number of factors, including but not limited to; projects, scope, skillset, and location.

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As an HFC Fellow, you'll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems,while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers.

Responsibilities: Collaborative Work: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Design complex, domain-specific problems and datasets to rigorously evaluate AI models, and provide expert insights that enhance their accuracy, reasoning, and overall performance. HFC Community: Beyond the work, you'll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains. Contribute to Research Publications: Collaborate with Scale's research team to co-author technical reports and research papers,boosting your academic visibility and professional recognition.

Who Should Apply: Education: PhDs, postdoctoral researchers, and professors with domain expertise in STEM fields such as Computer Science, Machine Learning, Physics, Biology, Chemistry, Mathematics, Humanities, or other related disciplines. Professional Mindset: Detail-oriented, innovative thinker with a passion in applied AI research and a commitment to collaboration.

Why Join the HFC? Professional Development: High-impact experts expand their influence through review projects, advisory roles, and research,while deepening their AI expertise, strengthening analytical and problem-solving skills, and engaging with pioneering AI applications in science and technology. Join a Top-Tier Network: Collaborate with a global network of academics and experts to advance responsible AI through impactful, flexible research and training. 80% of our members come from leading institutions. Flexible Schedule: Set your own schedule, with flexible 10–40 hour weeks that fit around your life and other commitments. Competitive Pay: Project pay rates vary across platforms and are depending on a number of factors, including but not limited to; projects, scope, skillset, and location.

XML job scraping automation by YubHub

As an HFC Fellow, you'll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems,while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers.

Responsibilities: Collaborative Work: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Design complex, domain-specific problems and datasets to rigorously evaluate AI models, and provide expert insights that enhance their accuracy, reasoning, and overall performance.

HFC Community: Beyond the work, you’ll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains.

Contribute to Research Publications: Collaborate with Scale’s research team to co-author technical reports and research papers,boosting your academic visibility and professional recognition.

Who Should Apply: Education: PhDs, postdoctoral researchers, and professors with domain expertise in STEM fields such as Computer Science, Machine Learning, Physics, Biology, Chemistry, Mathematics, Humanities, or other related disciplines.

Professional Mindset: Detail-oriented, innovative thinker with a passion in applied AI research and a commitment to collaboration.

Why Join the HFC? Professional Development: High-impact experts expand their influence through review projects, advisory roles, and research,while deepening their AI expertise, strengthening analytical and problem-solving skills, and engaging with pioneering AI applications in science and technology.

Join a Top-Tier Network: Collaborate with a global network of academics and experts to advance responsible AI through impactful, flexible research and training. 80% of our members come from leading institutions.

Flexible Schedule: Set your own schedule, with flexible 10–40 hour weeks that fit around your life and other commitments.

Competitive Pay: Project pay rates vary across platforms and are depending on a number of factors, including but not limited to; projects, scope, skillset, and location.

XML job scraping automation by YubHub

As an HFC Fellow, you'll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems.

Key responsibilities include:

• Engaging in high-impact projects with partnered AI labs and platforms
• Designing, reviewing, and optimising PyTorch models
• Evaluating complex ML code and AI-generated implementations for efficiency and correctness
• Advising on GPU optimisation, scaling, and trade-offs

You'll also become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains.

Collaboration with Scale's research team to co-author technical reports and research papers is also expected.

To be eligible, candidates must be authorised to work in Canada and have a PhD or postdoctoral degree in Computer Science, Computer Engineering, or a related field.

Professional background as a Machine Learning Engineer or Data Scientist with 1-3+ years of experience is also required.

Strong proficiency in Python and modern ML frameworks (PyTorch, TensorFlow) is essential, along with experience with cloud infrastructure (AWS) and MLOps tools (Docker, Langchain).

A detail-oriented, innovative thinker with a passion in applied AI research and a commitment to collaboration is ideal.

Flexible schedule with 10–40 hour weeks that fit around your life and other commitments is offered.

Project pay rates vary across platforms and are depending on a number of factors, including but not limited to; projects, scope, skillset, and location.

XML job scraping automation by YubHub

This is a fully remote, 1099 independent contractor opportunity with an estimated duration of six months and the potential for extension. To be eligible, candidates must be authorized to work in the United States; visa sponsorship is not available for this role.

About the Programme

The Human Frontier Collective Fellowship brings together top researchers and domain experts to collaborate on high-impact work that shape the future of AI. As an HFC Fellow, you'll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems,while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers.

Responsibilities

• Collaborative Work: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Design complex real-world scenarios, evaluating model outputs for accuracy and regulatory alignment, and providing targeted feedback to improve performance across domains like compliance, litigation, case law, and contract analysis.
• HFC Community: Beyond the work, you'll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains.
• Contribute to Research Publications: Collaborate with Scale's research team to co-author technical reports and research papers,boosting your academic visibility and professional recognition (e.g., SciPredict, PropensityBench, Professional Reasoning Benchmark).

Requirements

• Education: JD, LLM, or currently enrolled in a prestigious 2L/3L program.
• Certifications: Bar admission in any jurisdiction strongly preferred.
• Professional Background: Experience as Attorney/Associate, Legal Analyst, Counsel, Law Clerk, In-House Counsel, Legal Researcher, or Law Professor.
• Skills: Demonstrated expertise in legal research, analysis of regulatory frameworks, constitutional law, case law interpretation, and drafting legal briefs.
• Professional Mindset: Detail-oriented, innovative thinker with a passion for financial technology and a commitment to collaboration. Prior experience with AI is not required, but a plus.

Benefits

• Advance Legal AI Solutions: Apply your legal expertise to address complex, real-world challenges where your judgment shapes advanced AI reasoning and supports critical legal decision-making.
• Professional Development: High-impact legal experts expand their influence through review projects, advisory roles, and research,while deepening their AI expertise, sharpening legal analysis skills, and gaining practical experience with innovative AI tools for the legal field.
• Join a Top-Tier Network: Collaborate with a global network of academics and experts to advance responsible AI through impactful, flexible research and training. 80% of our members come from leading institutions.
• Flexible Schedule: Set your own schedule, with flexible 10–40 hour weeks that fit around your life and other commitments.
• Competitive Pay: Project pay rates vary across platforms and are depending on a number of factors, including but not limited to; projects, scope, skillset, and location.

XML job scraping automation by YubHub

As an HFC Fellow, you'll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems,while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers.

Responsibilities

• Collaborative Work: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Design complex real-world scenarios, evaluating model outputs for accuracy and regulatory alignment, and providing targeted feedback to improve performance across domains like compliance, litigation, case law, and contract analysis.
• HFC Community: Beyond the work, you’ll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains.
• Contribute to Research Publications: Collaborate with Scale’s research team to co-author technical reports and research papers,boosting your academic visibility and professional recognition (e.g., SciPredict, PropensityBench, Professional Reasoning Benchmark).

Requirements

• Education: JD, LLM, or currently enrolled in a prestigious 2L/3L program.
• Certifications: Bar admission in any jurisdiction strongly preferred.
• Professional Background: Experience as Attorney/Associate, Legal Analyst, Counsel, Law Clerk, In-House Counsel, Legal Researcher, or Law Professor.
• Skills: Demonstrated expertise in legal research, analysis of regulatory frameworks, constitutional law, case law interpretation, and drafting legal briefs.
• Professional Mindset: Detail-oriented, innovative thinker with a passion for financial technology and a commitment to collaboration.

Benefits

• Advance Legal AI Solutions: Apply your legal expertise to address complex, real-world challenges where your judgment shapes advanced AI reasoning and supports critical legal decision-making.
• Professional Development: High-impact legal experts expand their influence through review projects, advisory roles, and research,while deepening their AI expertise, sharpening legal analysis skills, and gaining practical experience with innovative AI tools for the legal field.
• Join a Top-Tier Network: Collaborate with a global network of academics and experts to advance responsible AI through impactful, flexible research and training. 80% of our members come from leading institutions.
• Flexible Schedule: Set your own schedule, with flexible 10–40 hour weeks that fit around your life and other commitments.
• Competitive Pay: Project pay rates vary across platforms and are depending on a number of factors, including but not limited to; projects, scope, skillset, and location.

XML job scraping automation by YubHub

This is a fully remote, 1099 independent contractor opportunity with an estimated duration of six months and the potential for extension. To be eligible, candidates must be authorized to work in the country they reside in.

About the Programme

The Human Frontier Collective (HFC) Fellowship brings together top researchers and domain experts to collaborate on high-impact work that are shaping the future of AI. As an HFC Fellow, you’ll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems,while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers.

Responsibilities

• Collaborative Work: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Design complex clinical scenarios, evaluate model decision-making for safety and accuracy, and shape reasoning frameworks through structured, example-driven feedback.
• Join the HFC Community: Beyond the work, you’ll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains.
• Contribute to Research Publications: Collaborate with Scale’s research team to co-author technical reports and research papers,boosting your academic visibility and professional recognition (e.g., SciPredict, PropensityBench, Professional Reasoning Benchmark).

Eligibility

• Education: Medical degree required (MD, DO) with board certification; open to residents, practicing clinicians, or those with extensive clinical experience.
• Specialties: Internal medicine, emergency medicine, radiology, surgery, psychiatry, and related fields.
• Skills: Strong clinical reasoning and writing skills, with the ability to assess complex, nuanced, or edge-case scenarios.
• Professional Mindset: Detail-oriented, innovative thinker with a passion for financial technology and a commitment to collaboration. Prior experience with AI is not required, but a plus.

Benefits

• Advance Medical AI Solutions: Apply your clinical expertise to tackle complex, real-world healthcare challenges where your judgment shapes advanced AI reasoning and patient care decisions.
• Professional Development: High-impact medical experts expand their influence through review projects, advisory roles, and research,while deepening their AI expertise, enhancing clinical reasoning skills, and gaining hands-on experience with cutting-edge healthcare AI technologies.
• Join a Top-Tier Network: Collaborate with a global network of academics and experts to advance responsible AI through impactful, flexible research and training. 80% of our members come from leading institutions.
• Flexible Schedule: Set your own schedule, with flexible 10–40 hour weeks that fit around your life and other commitments.
• Competitive Pay: Project pay rates vary across platforms and are depending on a number of factors, including but not limited to; projects, scope, skillset, and location.

XML job scraping automation by YubHub

As an HFC Fellow, you'll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems,while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers.

You'll get invited to engage in high-impact projects with our partnered AI labs and platforms, helping models understand real-world deep learning workflows by designing, reviewing, and optimising PyTorch models, evaluating complex ML code and AI-generated implementations for efficiency and correctness, and advising on GPU optimisation, scaling, and trade-offs.

Beyond the work, you'll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains.

You'll also contribute to research publications, collaborating with Scale's research team to co-author technical reports and research papers,boosting your academic visibility and professional recognition.

We're looking for individuals with a PhD or postdoctoral degree in Computer Science, Computer Engineering, or a related field, with 1-3+ years of experience as a Machine Learning Engineer or Data Scientist.

Key skills include strong proficiency in Python and modern ML frameworks (PyTorch, TensorFlow), experience with cloud infrastructure (AWS) and MLOps tools (Docker, Langchain), and a detail-oriented, innovative mindset with a passion in applied AI research and a commitment to collaboration.

Benefits include professional development, joining a top-tier network, flexible scheduling, and competitive pay.

XML job scraping automation by YubHub

As an HFC Fellow, you'll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems.

Key responsibilities include:

• Collaborative Work: Engage in high-impact projects with partnered AI labs and platforms, developing and evaluating complex financial scenarios to test and enhance AI accuracy in valuation, forecasting, and analysis.
• HFC Community: Become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains.
• Contribute to Research Publications: Collaborate with Scale's research team to co-author technical reports and research papers.

To be eligible, candidates must be authorised to work in the United States; visa sponsorship is not available for this role.

Requirements include:

• Education: PhD, Master, BBA in Finance, Economics, or related degrees.
• Certifications: CFA or CPA strongly preferred.
• Professional Background: 5+ years in FP&A, Investment Banking, Portfolio Management, Financial Consulting, or equivalent research experience.
• Skills: Strong proficiency in financial modelling, valuation methodologies, forecasting, asset pricing, DCF analysis, market analysis, and risk assessment.

Professional mindset: detail-oriented, innovative thinker with a passion for financial technology and a commitment to collaboration.

Why join the HFC?

• Advance Finance AI Solutions: Apply your financial expertise to solve complex, real-world challenges where your judgment shapes advanced AI reasoning and decision-making.
• Professional Development: High-impact finance experts expand their influence through review projects, advisory roles, and research.
• Join a Top-Tier Network: Collaborate with a global network of academics and experts to advance responsible AI through impactful, flexible research and training.
• Flexible Schedule: Set your own schedule, with flexible 10–40 hour weeks that fit around your life and other commitments.
• Competitive Pay: Project pay rates vary across platforms and are depending on a number of factors, including but not limited to; projects, scope, skillset, and location.

XML job scraping automation by YubHub

As an HFC Fellow, you'll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems,while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers.

Responsibilities:

• Engage in high-impact projects with our partnered AI labs and platforms.
• Design, review, and optimize PyTorch models.
• Evaluate complex ML code and AI-generated implementations for efficiency and correctness.
• Advise on GPU optimization, scaling, and trade-offs.
• Collaborate with Scale's research team to co-author technical reports and research papers.

Requirements:

• PhD or postdoctoral degree in Computer Science, Computer Engineering, or a related field.
• 1-3+ years of experience as a Machine Learning Engineer or Data Scientist.
• Strong proficiency in Python and modern ML frameworks (PyTorch, TensorFlow).
• Experience with cloud infrastructure (AWS) and MLOps tools (Docker, Langchain) is a plus.

Benefits:

• Flexible schedule with 10–40 hour weeks.
• Competitive pay rates varying across platforms and depending on project scope, skillset, and location.
• Opportunity to work with a global network of engineers and experts to advance responsible AI.

XML job scraping automation by YubHub

As a Finance Fellow at the Human Frontier Collective, you will apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems.

Key responsibilities include:

• Collaborative Work: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Develop and evaluate complex financial scenarios to test and enhance AI accuracy in valuation, forecasting, and analysis; collaborate in interactive sessions to assess model outputs for market relevance and compliance; provide detailed feedback to improve AI capabilities; and contribute to specialized projects in financial modeling, risk assessment, and equity research.

• HFC Community: Beyond the work, you will become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains.

• Contribute to Research Publications: Collaborate with Scale's research team to co-author technical reports and research papers,boosting your academic visibility and professional recognition.

To be eligible, candidates must have a PhD, Master, BBA in Finance, Economics, or related degrees, and 5+ years in FP&A, Investment Banking, Portfolio Management, Financial Consulting, or equivalent research experience.

Key skills include strong proficiency in financial modeling, valuation methodologies, forecasting, asset pricing, DCF analysis, market analysis, and risk assessment.

Project pay rates vary across platforms and are depending on a number of factors, including but not limited to; projects, scope, skillset, and location.

XML job scraping automation by YubHub