Physics Expert Remote Position

About the jobMercorconnects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors includeBenchmark,General Catalyst,Peter Thiel,Adam D’Angelo,Larry Summers, andJack Dorsey.Position:Physics AI EvaluatorType:Full-time or Part-time Contract WorkCompensation:$73/hourLocation:USA, UK, Canada, EURole ResponsibilitiesWrite and refine prompts to guide model behavior in physics contexts.EvaluateLLM-generated responsesto physics-related queries for conceptual accuracy and reasoning quality.Conduct fact-checking using authoritative public sources and domain knowledge.Annotate model responses by identifying strengths and areas of improvement.Assess clarity, structure, and appropriateness of explanations for different audiences.Apply consistent evaluation standards by following clear taxonomies and benchmarks.QualificationsMust-HavePhD in Physics or closely related field.Deep expertise inClassical Mechanics & Dynamics,Electromagnetism,Thermodynamics,Quantum Physics, orRelativity.Significant experience usinglarge language models(LLMs).Excellent writing skillsand ability to explain complex physics concepts.Strong attention to detailand experience reviewing technical writing.PreferredExperience withRLHF, model evaluation, or data annotation work.Experience teaching or explaining physics concepts to non-experts.Familiarity with evaluation rubrics or structured review frameworks.Application Process (Takes *** mins to complete)Upload resumeAI interview based on your resumeSubmit formResources & SupportFor details about the interview process and platform information, please check: For any help or support, reach out to: ****PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Must-Have PhD in Physics or closely related field . Deep expertise in Classical Mechanics & Dynamics , Electromagnetism , Thermodynamics , Quantum Physics , or Relativity . Significant experience using large language models (LLMs). Excellent writing skills and ability to explain complex physics concepts. Strong attention to detail and experience reviewing technical writing. Preferred Experience with RLHF , model evaluation, or data annotation work. Experience teaching or explaining physics concepts to non-experts. Familiarity with evaluation rubrics or structured review frameworks.