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AI Trainer (Physical Sciences)

We are looking for AI Trainer (Physical Sciences) candidates for a project delivered through the hiring partner.

What you'll do

  • Create realistic computational physical-science tasks that challenge advanced AI models.
  • Develop task instructions, reproducible environments, reference solutions, and evaluation criteria.
  • Evaluate model-generated calculations, code, simulations, models, and technical deliverables.
  • Identify invalid assumptions, numerical errors, physically impossible results, incorrect methods, or reproducibility failures.

What you need

  • Prior paid experience training, evaluating, benchmarking, or improving AI systems on scientific or technical tasks.
  • Strong practical proficiency with Python.
  • Deep expertise in at least one relevant physical-science specialization.
  • Hands-on experience using computational methods for modeling, simulation, numerical analysis, data analysis, or reproducible research.

Nice to have

  • Experience creating AI-training tasks, reference answers, rubrics, graders, or benchmark problems.
  • Experience with NumPy, SciPy, SymPy, Astropy, PyTorch, JAX, or comparable scientific tools.
  • Experience validating simulations or models against analytical results, observations, or experimental data.
  • Availability to begin immediately.

Expertise

Who you work with

Project and contracting process: the hiring partner. Applications continue on the provider's website.

Pay and hours

This role pays $60–$120/hr, for 15 h/week. The work is remote. That is about 6% above the $85 an hour median for science & research roles open now.

Median pay for science & research roles: $85/hr

Who can apply from where

The provider lists this role as open worldwide. With a profile, Tier1 checks your country and languages against this role and every other before you apply.

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$60–$120/hr

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