AI Trainer

We are looking for PhD-level researchers in  Mathematics, Physics, Biology, or Chemistry  to join a high-impact project. This is a unique opportunity to use your scientific expertise to train and evaluate the world’s most advanced Large Language Models (LLMs).
This is  not  a generic data annotation role. It is a rigorous, hands-on scientific coding engagement where you will design graduate-level problems and write the Python code to solve them.

Project Scope
Role:  Scientific Coding Expert (LLM Training)
Duration:  12 Weeks (Full-time, 40hrs/week)

Location:

100% Remote (Must overlap 4 hours with PST)

Start Date:

Immediate
Compensation:  $15 USD/hour

What You Will Do
Design Problems:  Create research-grade scientific problems in your domain (Maths, Physics, Bio, or Chem).
Code Solutions:  Write correct, high-signal Python solutions to solve these problems.
Stress-Test AI:  Evaluate model reasoning and code generation to improve next-gen AI systems.
Iterate:  Participate in a two-tier review process to ensure high-quality, correct output.

Who You Are
Academic Background:  You hold a  PhD  (or are a current PhD Candidate) in Mathematics, Physics, Computational Biology, or Computational Chemistry.
Published Researcher:  You have at least  1 peer-reviewed publication .
Coder:  You have strong proficiency in  Python  for scientific computing (demonstrated via Git Hub, publications, or coursework).
Available:  You can commit to 40 hours/week for the next 12 weeks.

Why Join?
Real AI Impact:  Your work directly feeds into LLM training.
Speed:  No complex interview rounds. Resume review + Interest Form = Offer.
Flexibility:  Fully remote work

How to Apply

Please submit your CV highlighting your PhD research and Python experience.