Remote Scientific Research Evaluators - AI Trainer

Mercor is seeking expert evaluators to support a high-impact evaluation workflow in partnership with a leading AI research lab.

This project focuses on the Scientific Research domain, where you will assess agent-generated research reports related to experimental data, statistical analyses, research findings comparisons, chemical compound properties, and environmental measurements.

We are looking for evaluators with a background in Biology, Chemistry, Physics, Environmental Science, or related scientific disciplines. This role is ideal for professionals who have:

• 2–3 years of professional experience in laboratory research, scientific analysis, or applied research roles
• Experience working with experimental datasets, laboratory measurements, or controlled study results
• Strong understanding of statistical analyses, hypothesis testing, and data interpretation
• Experience comparing research findings across multiple studies and evaluating methodological soundness
• Familiarity with chemical compound properties, material data, or physical measurement standards
• Experience interpreting environmental measurements or field data, where applicable
• Experience sourcing and validating scientific tables, datasets, and peer-reviewed research from credible academic sources
• Strong analytical skills and attention to detail
• Excellent written communication skills
• Comfort working independently and asynchronously

• Bachelor’s or Master’s degree in Biology, Chemistry, Physics, Environmental Science, or a related scientific field

• Evaluate agent-generated research reports for accuracy, relevance, data integrity, and clarity
• Assess the correctness of experimental interpretations, statistical analyses, and research comparisons
• Verify scientific tables, compound properties, and measurement data using reputable academic and public sources
• Identify inconsistencies in methodology, data reporting, and scientific conclusions
• Work independently to complete evaluations within deadlines
• Maintain consistency and precision across all assigned tasks

• Part-time (20–40 hours / week) with flexible scheduling
• Competitive rates: $40–$60 / hour depending on expertise