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Ai trainer: mathematics (phd) @ ai start-up (darwin)

Darwin
Hatch
Instructor
Posted: 19 November
Offer description

AI Trainer: Mathematics (PhD) @ AI Start-Up

Join to apply for the AI Trainer: Mathematics (PhD) @ AI Start-Up role at Hatch

NOTE : Hatch is supporting Mercor in hiring for this position, but Mercor remains the owner of the role and hiring process

Mercor is hiring experienced Mathematics experts to join an exciting collaboration with a top AI research lab. This role involves contributing to the development and evaluation of advanced AI systems designed to replicate real-world workflows across pure mathematics, applied mathematics, probability, statistics, optimization, and numerical analysis.

Key Responsibilities

- Create and assess complex problems in mathematics across various subdomains such as algebra, calculus, probability, statistics, optimization, and numerical methods
- Evaluate AI-generated responses for conceptual accuracy, mathematical rigor, and domain relevance
- Provide clear written feedback on math problem sets, proofs, and solutions
- Collaborate asynchronously with AI researchers and engineers to iterate and improve model performance
- Ensure scientific accuracy and academic precision in all mathematical content used to train or evaluate AI systems

Ideal Qualifications

- PhD in Mathematics, Statistics, Applied Math, Econometrics, or a related field from a top university
- 2+ years of academic experience (research, publication, teaching) or qualified experience (mathematician, statistician, quantitative analyst, researcher or similar)
- Experience with tools like Python/R/Julia/Matlab, Jupyter/RMarkdown, and standard stats/ML libraries
- Deep subject‑matter expertise across core areas of mathematics
- Exceptional written and verbal communication skills
- Strong attention to detail and analytical thinking

Project Timeline

- Start Date: Immediate
- Duration: 1–2 months
- Commitment: Part‑time ~20 hours/week (potential to extend to 40 hours/week)
- Schedule: Fully remote and asynchronous – flexible working hours

Compensation & Contract

- Competitive hourly rate based on experience ($65–$80 USD/hr)
- Daily payment via Stripe Connect

Application & Onboarding Process

- Upload your resume (and portfolio/notebook links if available) and application form
- AI interview: A short, 15‑minute conversational session to understand your background, experience, and interest in the role
- Work trial: A paid, 4‑hour assessment evaluating your ability to interpret project guidelines and deliver math‑specific output

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