Mercor - STEM Expert, application via RippleMatch
This role is with Mercor. Mercor uses RippleMatch to find top talent.
About the Role
Mercor is seeking a highly skilled Research and STEM Expert to join our AI evaluation and technical quality assurance team. In this role, you will analyze, evaluate, and fact-check AI-generated outputs across scientific, mathematical, and technical domains — ensuring the highest standards of factual accuracy, logical reasoning, and clarity.
You will help improve the reasoning and reliability of cutting-edge Large Language Models (LLMs) by providing structured feedback and expert judgment across diverse STEM fields. This position is ideal for individuals with strong academic training, analytical precision, and a passion for advancing AI alignment in research and science.
Key Responsibilities
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Evaluate and critique AI-generated responses in STEM-related subjects (e.g., computer science, mathematics, physics, biology, and engineering).
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Conduct fact-checking and research validation using reputable public and academic sources.
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Assess scientific explanations, calculations, and reasoning for correctness and clarity.
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Provide structured written feedback to improve the model’s understanding and communication of technical topics.
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Collaborate with the AI quality team to improve annotation guidelines and maintain consistency across evaluations.
Minimum Requirements
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BS, MS, or PhD in a STEM domain (e.g., Computer Science, Mathematics, Biology, Physics, Engineering, etc.)
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English expert with excellent comprehension and communication skills
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Excellent at high school–level math
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Experts at fact-checking information across multiple domains (medical, legal, financial, technical, etc.) using trusted public sources
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Excellent writing skills and attention to detail
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Significant experience using Large Language Models (LLMs)
Preferred Qualifications
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Prior experience with RLHF annotation or AI model evaluation
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Research or professional experience involving data analysis, technical writing, or analytical reasoning
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Familiarity with academic research standards and citation practices
Role Details
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Type: Part-time (approximately 20 hours/week)
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Location: Remote and asynchronous
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Schedule: Flexible working hours
Compensation
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Position: Contractor role via Mercor
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Rate: $90/hour, based on expertise and domain experience
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Payments: Weekly via Stripe Connect
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