Math Professor

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/79he2s

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Mathematics AI Evaluator
Type: Full-time or Tempo parziale Contract Work
Compensation: $73/hour
Location: Geography restricted to USA, UK, Canada, EU

Role Responsibilities

- Write and refine prompts to guide model behavior in mathematical contexts.
- Evaluate LLM-generated responses to mathematics-related queries for correctness, rigor, and logical coherence.
- Verify mathematical claims, derivations, and proofs using domain expertise.
- Conduct fact-checking using authoritative public sources and domain knowledge.
- Annotate model responses by identifying strengths, areas of improvement, and factual or conceptual inaccuracies.
- Assess clarity, structure, and appropriateness of explanations for different audiences.

Qualifications

Must-Have

- PhD in Mathematics or a closely related field, or demonstrated exceptional achievement in mathematics.
- Strong experience across core areas of mathematics: Algebra & Number Theory, Calculus & Analysis, Geometry & Topology,



Discrete Mathematics, Logic & Computation, Probability & Statistics.
- Significant experience using large language models (LLMs).
- Excellent writing skills and ability to explain complex mathematical concepts.
- Strong attention to detail and ability to notice subtle issues.
- Experience reviewing or editing technical or academic writing.

Preferred

- Prior experience with RLHF, model evaluation, or data annotation work.
- Experience teaching, mentoring, or explaining mathematical concepts to non-expert audiences.
- Familiarity with evaluation rubrics, benchmarks, or structured review frameworks.

Application Process (Takes 20–30 mins to complete)

- Upload resume
- AI interview based on your resume
- Submit form

Resources & Support

- For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome
- For any help or support, reach out to: (email hidden)

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/79he2s