Math Experts (Remote/Global)
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Огляд ролі від JobGrid
Math Experts (Remote/Global) at anyone-ai: Віддалено, Аргентина; USD 40+ / hourly. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying.
- Location and workplace: Віддалено, Аргентина
- Employer salary shown on the listing: USD 40+ / hourly
- Source freshness: checked by JobGrid on 2026-05-29.
- Application path: candidates continue to the employer application page with non-personal referral tags.
Help shape the future of AI by designing challenging math problems that test and improve reasoning in cutting-edge models.
Location: Remote
Type: Contract / Part-time
Commitment: 10 hours per week
Compensation: Up to 40 USD / hr
Availability: Immediate start
About the role
We create high-quality STEM training data for frontier AI models. Our data is used directly in training and evaluation pipelines at leading AI labs to improve model reasoning in technical domains.
We are looking for experts in Mathematics to design rigorous, deterministic problems that are genuinely challenging for state-of-the-art AI systems. Each problem must have exactly one verifiable correct answer and be submitted together with a complete, verified solution.
What you’ll do
Design advanced mathematical problems for frontier AI training and evaluation
Create deterministic problems with exactly one correct answer
Write complete, verified solutions and clearly document the reasoning process
Develop problems that test deep mathematical reasoning, not just memorization
Ensure all outputs are technically precise, reproducible, and well-written in English
What we’re looking for
PhD Students or Graduated PhDs in Mathematics or a closely related field
Strong research or industry experience involving mathematical modeling, proof-based reasoning, applied mathematics, or computational mathematics
Ability to design original, difficult problems that mirror real mathematical workflows
Excellent attention to detail and technical writing skills in English
Nice to have
Background in olympiad-level, graduate-level, or research-level problem design
Experience evaluating model reasoning, benchmarking, or technical assessment design