RippleMatch Opportunities
Mercor - STEM Expert, application via RippleMatch
RippleMatch Opportunities, Austin, Texas, us, 78716
Mercor - STEM Expert, application via RippleMatch
Remote (Austin, TX)
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 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.
Qualifications 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.
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.
Type and Location Part-time
(approximately 20 hours/week).
Remote and asynchronous .
Compensation Position:
Contractor role via
Mercor .
Rate:
$90/hour , based on expertise and domain experience.
Payments:
Weekly via
Stripe Connect .
#J-18808-Ljbffr
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 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.
Qualifications 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.
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.
Type and Location Part-time
(approximately 20 hours/week).
Remote and asynchronous .
Compensation Position:
Contractor role via
Mercor .
Rate:
$90/hour , based on expertise and domain experience.
Payments:
Weekly via
Stripe Connect .
#J-18808-Ljbffr