We are inviting PhD holders, doctoral candidates, and exceptional Master’s graduates in Mathematics, Applied Mathematics, or related STEM disciplines to join a high-impact AI research initiative in collaboration with a leading artificial intelligence lab. This role offers a chance to apply your mathematical expertise toward improving the reasoning and accuracy of advanced AI models.
Key Domains
Candidates with expertise in one or more of the following areas are encouraged to apply:
Core Mathematics: Real Analysis, Complex Analysis, Functional Analysis, Spectrum Theory, Fourier Analysis Applied Mathematics: Ordinary and Partial Differential Equations, Dynamical Systems, Mathematical Physics Additional Areas: Algebra, Geometry, Number Theory, Combinatorics, Probability, Graph Theory
Key Responsibilities
Review and audit submitted data, including prompts, solutions, references, and metadata.
Evaluate task quality using structured rubrics (8–10 criteria) to ensure clarity, accuracy, and logical consistency.
Verify correctness of solutions and reasoning steps, identifying gaps or conceptual flaws.
Provide concise, well-reasoned feedback to justify evaluation decisions.
Work independently and asynchronously using internal tools and workflows.
Qualifications
PhD (candidate or recipient) or Master’s degree in Mathematics, Applied Mathematics, or a related STEM field.
Strong expertise in one or more mathematical domains listed above.
Excellent analytical skills and ability to assess complex, multi-step reasoning.
Strong written communication and meticulous attention to detail.
Ability to work independently in a fully remote, asynchronous environment.
Role Details
Type: Part-time (approximately 20 hours per week)
Location: Fully remote
Schedule: Flexible and asynchronous
Compensation
Hourly rate: $20–$30 USD/hour, based on expertise and domain proficiency
Contract type: Independent contractor
Payments: Weekly, processed securely through Stripe Connect
Skills: Mathematics Research, Data Evaluation, Logical Reasoning, Analytical Problem Solving, AI Model Assessment, Academic Review
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