More jobs:
Mercor - STEM Expert, via
Job in
Denver, Denver County, Colorado, 80285, USA
Listed on 2026-01-01
Listing for:
RippleMatch
Part Time
position Listed on 2026-01-01
Job specializations:
-
IT/Tech
Data Scientist, Data Analyst
Job Description & How to Apply Below
Mercor - STEM Expert, application via Ripple Match
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This role is with Mercor. Mercor uses Ripple Match 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
• Evaluate and critique AI-generated responses in STEM-related subjects (e.g., computer science, mathematics, physics, biology, and engineering).
• Conduct fact-checking and research validation using reputable public and academic sources.
• Assess scientific explanations, calculations, and reasoning for correctness and clarity.
• Provide structured written feedback to improve the model's understanding and communication of technical topics.
• Collaborate with the AI quality team to improve annotation guidelines and maintain consistency across evaluations.
Minimum Requirements
• BS, MS, or PhD in a STEM domain (e.g., Computer Science, Mathematics, Biology, Physics, Engineering, etc.)
• English expert with excellent comprehension and communication skills
• Excellent at high school–level math
• Experts at fact-checking information across multiple domains (medical, legal, financial, technical, etc.) using trusted public sources
• Excellent writing skills and attention to detail
• Significant experience using Large Language Models (LLMs)
Preferred Qualifications
• Prior experience with RLHF annotation or AI model evaluation
• Research or professional experience involving data analysis, technical writing, or analytical reasoning
• Familiarity with academic research standards and citation practices
Role Details
• Type:
Part-time (approximately 20 hours/week)
•
Location:
Remote and asynchronous
•
Schedule:
Flexible working hours
Compensation
• Position:
Contractor role via Mercor
• Rate: $90/hour, based on expertise and domain experience
• Payments:
Weekly via Stripe Connect
Seniority level
• Seniority level
Entry level
Employment type
•
Employment type
Part-time
Job function
• Job function
Information Technology
• Industries Technology, Information and Internet
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