AI Trainer (Mathematics & Statistics)

What You'll Do6

• Design realistic computational mathematics and statistics problems that test advanced AI models.
• Write clear task instructions, set up reproducible environments, and provide reference solutions and evaluation rubrics.
• Review model-produced proofs, calculations, code, models, and optimizations for correctness.
• Spot logical flaws, invalid assumptions, numerical instability, incorrect statistical methods, and reproducibility issues.
• Create objective criteria to judge whether a solution is correct.
• Validate that numerical results, statistical outputs, and optimization solutions meet project standards.

Requirements5

• Paid experience training, evaluating, benchmarking, or improving AI systems on mathematical or technical tasks.
• Strong practical Python programming skills.
• Deep knowledge in at least one mathematical specialization such as applied mathematics, scientific computing, operations research, optimization, formal mathematics, theorem proving, probability, statistics, numerical methods, or mathematical modeling.
• Hands-on experience with computational methods for numerical analysis, optimization, statistics, theorem proving, modeling, or scientific computing.
• Public evidence of skill, such as peer-reviewed publications or preprints, public mathematical or optimization code, research profiles (Google Scholar, ORCID, arXiv), open-source contributions, competition results, or reproducible notebooks and benchmarks.

Preferred Qualifications6

• Experience creating AI-training tasks, reference answers, rubrics, graders, or benchmark problems.
• Experience reviewing other AI trainers' technical submissions.
• A master's degree, PhD, or equivalent record of substantial computational work.
• Familiarity with NumPy, SciPy, SymPy, pandas, Pyomo, OR-Tools, Lean, Coq, or similar tools.
• Experience validating numerical solutions, statistical results, optimization outputs, or formal proofs.
• Availability to start immediately.

Who Should Apply

Computational mathematicians, statisticians, or optimization experts who have already done paid AI-training or model-evaluation work and can show public technical evidence. You should be comfortable with Python and at least one mathematical specialization, and ready to commit 15+ hours per week.

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