You'll collaborate with our technical team to train models on human interactions, problem-solving, and discussions; refine annotation tools; and select/create complex problems from advanced pure math topics to boost performance.

Key responsibilities include:

• Using proprietary software applications to provide input/labels on defined projects.
• Supporting and ensuring the delivery of high-quality curated data.
• Playing a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies.
• Interacting with the technical staff to help improve the design of efficient annotation tools.
• Choosing problems from pure math subdomains that align with your expertise, focusing on areas like abstract algebra, real/complex analysis, topology, graph theory, and so on where you can confidently provide detailed solutions and evaluate model responses.

To succeed in this role, you'll need:

• A Master's or PhD in Mathematics with a specialization in a subdomain of pure mathematics, or a medal in an International Math Olympiad (IMO) or similar level math competition.
• Proficiency in reading and writing, both in informal and professional English.
• Strong ability to navigate various information resources and databases.
• Outstanding communication, interpersonal, analytical, and organizational capabilities.
• Solid reading comprehension skills combined with capacity to exercise autonomous judgment even when presented with limited data/material.

Preferred skills and experience include:

• Math PhD with a specialization in a subdomain of pure mathematics.
• Peer-reviewed pure math publications in well-regarded journals.
• Previous AI Tutoring experience and/or experience teaching college courses.

As a remote worker, you'll have the flexibility to set your own hours and determine the exact amount of time needed to complete deliverables. Compensation ranges from $45/hour to $75/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. Benefits vary based on employment type, location, and jurisdiction.

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This position demands a dynamic approach to learning and adapting in a fast-paced environment, where your ability to interpret and execute tasks based on evolving instructions is crucial. As an AI expert, you will play an essential role in advancing xAI's mission by supporting the training and refinement of xAI’s AI models.

Responsibilities:

• Use proprietary software applications to provide input/labels on defined projects.
• Support and ensure the delivery of high-quality curated data.
• Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies.
• Interact with the technical staff to help improve the design of efficient annotation tools.
• Choose problems from economics fields that align with your expertise, focusing on areas like macroeconomics, microeconomics, and behavioral economics.
• Regularly interpret, analyze, and execute tasks based on given instructions.

Basic Qualifications:

• Must possess a PhD in Economics or related field.
• Proficiency in reading and writing, both in informal and professional English.
• Outstanding communication, interpersonal, analytical, and organizational capabilities.
• Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material.
• Strong passion for and commitment to technological advancements and innovation in economics.

Preferred Skills and Experience:

• Possesses experience with at least one publication in a reputable economics journal or outlet.
• Teaching experience as a professor.

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The ideal candidate will possess a Master's or PhD in Civil or Environmental Engineering, or a highly-related field. You will have strong communication, interpersonal, analytical, and organizational capabilities, as well as solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material.

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.

Compensation and benefits vary based on employment type, location, and jurisdiction. US-based candidates can expect to earn between $45/hour and $75/hour, depending on factors including relevant experience, skills, education, geographic location, and qualifications.

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Responsibilities:

• Use proprietary software applications to provide input/labels on defined projects.
• Support and ensure the delivery of high-quality curated data.
• Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies.
• Interact with the technical staff to help improve the design of efficient annotation tools.
• Regularly interpret, analyze, and execute tasks based on given instructions.

Basic Qualifications:

• Master's or PhD in electrical or computer engineering, or a highly-related field.
• Proficiency in reading and writing, both in informal and professional English.
• Strong ability to navigate various information resources, databases, and online resources.
• Outstanding communication, interpersonal, analytical, and organizational capabilities.
• Solid reading comprehension skills combined with capacity to exercise autonomous judgment even when presented with limited data/material.

Preferred Skills and Experience:

• PhD in electrical or computer engineering.
• Substantial professional experience working on real-world problems in this domain.
• Possess experience with at least one publication in a reputable journal or outlet.
• Previous AI Tutoring experience.
• Teaching experience (as a professor, teacher, or tutor).
• Technical writing, journalism, or a professional writing setting.
• Professional background as an electrical or computer engineer.

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