Job Description 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: Applied Sciences — Visual Document UnderstandingType: Contract Compensation: $50/hour Location: Remote Commitment: 15–20 hours/week
Role Responsibilities
Evaluate the accuracy and depth of AI-generated content in Physics , Chemistry , and Biology to strengthen reasoning and rigor in model outputs . Review complex scientific documents for alignment with domain principles and methodologies. Provide clear, structured feedback to AI research teams to improve training data quality and downstream performance. Develop evaluation rubrics and benchmarks for assessing AI-generated scientific tasks and solutions. Collaborate with subject matter experts to ensure consistency, relevance, and coverage across datasets. Work independently and asynchronously to meet deadlines while improving AI model performance . Qualifications
Must-Have
Expertise in Physics , Chemistry , or Biology . Experience in AI model evaluation . Strong analytical and problem-solving skills. Application Process (Takes 20–30 mins to complete)
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For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Show more Numbers & Facts Location New York, New York (Remote )
Skills
Analysis Skillsunmatched
Artificial Intelligence (AI)unmatched
Benchmarkingunmatched
Biologyunmatched
Chemistryunmatched
Data Qualityunmatched
Data Setsunmatched
Performance Managementunmatched
Performance Modelingunmatched
Physicsunmatched
Problem Solving Skillsunmatched
Quality Managementunmatched
Research Laboratoryunmatched
Scientific Publicationsunmatched
Time Managementunmatched
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