AI Trainer (Physical Sciences)
Math & ScienceRemoteTask-basedPosted Nov 9
Paid per taskThis opportunity lists pay per task, rather than an hourly rate.
Schedule: Flexible
micro1 is looking for Computational Physical Scientists with prior professional AI-training or model-evaluation experience to support a project focused on improving advanced AI systems.
You will use your scientific expertise and programming skills to create challenging technical tasks, evaluate model-generated code and analyses, identify failures, and establish objective standards for correct solutions. This role is intended for candidates who have completed substantive AI-training work involving physical-science content.
What You’ll Work On
- 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.
Strong applicants should provide evidence such as
- Peer-reviewed publications or preprints involving computational methods
- Public simulation or analysis code
- Google Scholar, ORCID, arXiv, or equivalent research profiles
