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Cincinnatus is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for full-time and long-term contingent roles. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. Roles hired through Cincinnatus are not project-based or freelance engagements. They are structured, role-based positions that typically involve full-time or fixed-term commitments, close collaboration with a client's internal teams, and integration into standard enterprise workflows. Cincinnatus is a legal entity separate from Mercor. While opportunities may be discovered through Mercor's platform, employment, onboarding, payroll, and benefits for these roles are administered by Cincinnatus. Equal Employment Opportunity Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic. Cincinnatus is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans throughout the job application process.
Applied Math Specialist
Location
United States + 41 moreAll locations: United States | United Kingdom | Germany | France | Estonia | Portugal | Hungary | Poland | Ukraine | Romania | Bulgaria | Czechia | Slovakia | Belarus | Moldova | Sweden | Greece | Belgium | Italy | Ireland | Switzerland | Netherlands | Finland | Malta | Denmark | Lithuania | Croatia | Spain | Austria | Bosnia And Herzegovina | Iceland | Luxembourg | North Macedonia | Montenegro | Norway | Serbia | Slovenia | Albania | Cyprus | Latvia | Monaco | Canada
Posted
80 days ago
Salary
$73 / hour
Seniority
Mid Level
Job Description
Applied Math Specialist
Mercor
Role Description - 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. - Ensure model responses align with expected conversational behavior and system guidelines. Qualifications - PhD in Mathematics or a closely related field. - Demonstrated experience in Probability & Statistics. - Significant experience using large language models (LLMs). - Excellent writing skills for explaining complex mathematical concepts. - Strong attention to detail with the ability to notice subtle issues. - Experience reviewing or editing technical or academic writing. - Prior experience with RLHF, model evaluation, or data annotation work (preferred). - Experience teaching, mentoring, or explaining mathematical concepts to non-expert audiences (preferred). - Familiarity with evaluation rubrics, benchmarks, or structured review frameworks (preferred). Requirements - Full-time or Part-time Contract Work. - Compensation: $73/hour. - Location: USA, UK, Canada, EU. Company Description 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.
Job Requirements
- PhD in Mathematics or a closely related field.
- Demonstrated experience in Probability & Statistics.
- Significant experience using large language models (LLMs).
- Excellent writing skills for explaining complex mathematical concepts.
- Strong attention to detail with the ability to notice subtle issues.
- Experience reviewing or editing technical or academic writing.
- Prior experience with RLHF, model evaluation, or data annotation work (preferred).
- Experience teaching, mentoring, or explaining mathematical concepts to non-expert audiences (preferred).
- Familiarity with evaluation rubrics, benchmarks, or structured review frameworks (preferred).
- Full-time or Part-time Contract Work.
- Compensation: $73/hour.
- Location: USA, UK, Canada, EU.
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