[job_card.job_description]Location: Geography restricted to USA, UK, Canada, EUType: Full-time or Part-time Contract WorkFluent Language Skills Required :EnglishWhy This Role ExistsMercor partners with leading AI teams to improve the quality, usefulness, and reliability of general-purpose conversational AI systems. These systems are used across a wide range of everyday and professional scenarios, and their effectiveness depends on how clearly, accurately, and helpfully they respond to real user questions. In physics-related contexts, conversational AI systems must demonstrate strong theoretical grounding, quantitative rigor, and precise reasoning. This project focuses on evaluating and improving how models explain, reason about, and respond to physics-related questions across both foundational and advanced topics.What You’ll DoWrite and refine promptsto guide model behavior in physics contexts -Evaluate LLM-generated responsesto physics-related queries for conceptual accuracy, mathematical correctness, and reasoning quality -Conduct fact-checkingusing authoritative public sources and domain knowledge -Annotate model responsesby identifying strengths, areas of improvement, and factual or conceptual inaccuracies -Assess clarity, structure, and appropriateness of explanationsfor different audiences - Ensuremodel responses align with expected conversational behaviorand system guidelines -Apply consistent evaluation standardsby following clear taxonomies, benchmarks, and detailed evaluation guidelinesWho You AreYou hold aPhD in Physics or closely related fieldYou have deep expertise inone or more of the following sub-domains: - Classical Mechanics & Dynamics - Electromagnetism, Optics & Signals - Thermodynamics & Statistical Physics - Quantum Physics - Relativity, Cosmology & High-Energy Physics - You havesignificant experience using large language models(LLMs) and understand how and why people use them - You haveexcellent writing skillsand can clearly explain complex physics concepts - You havestrong attention to detailand consistently notice subtle issues others may overlook -Experience reviewing or editing technical or academic writingNice-to-Have SpecialtiesPrior experience with RLHF, model evaluation, or data annotation work - Experience teaching, mentoring, or explaining physics concepts to non-expert audiences - Familiarity with evaluation rubrics, benchmarks, or structured review frameworksWhat Success Looks LikeYou identify conceptual inaccuracies or weak reasoning in physics-related model outputs - Your feedback improves the rigor, clarity, and correctness of AI explanations - You deliver consistent, reproducible evaluation artifacts that strengthen model performance - Mercor customers trust their AI systems in physics contexts because you’ve rigorously evaluated themWhy Join MercorMercor offers PhD-level scientists the opportunity to directly influence how advanced AI systems reason about complex scientific concepts. This flexible, remote role allows you to apply deep expertise beyond academia while contributing to high-impact AI development work.