You will help improve AI systems by creating difficult physics problems and realistic scenarios based on computational, theoretical, and physical workflows. You will then assess AI-generated answers and explain where their reasoning or calculations need improvement.
- Create challenging physics problems and realistic scenarios.
- Review AI-generated physics responses for correctness and numerical rigor.
- Check whether responses match practical physics and computational workflows.
- Find weaknesses in model reasoning and provide clear, structured written feedback.
- Use careful judgment when reviewing specialized physics content and computational approaches.
What it pays and takes
This is remote, project-based contract work with flexible participation.
- Pay: Up to $63 per hour.
- Hours: 20+ hours per week.
- Location: Open to candidates in India.
- Work style: Remote and asynchronous, with no set schedule.
- Education: A master's degree or PhD in physics or a related field, or an MS with relevant industry experience.
- Communication: Strong written communication and the ability to explain complex physics concepts clearly.
- Work habits: Close attention to detail and the ability to work independently.
- Helpful background: Experience running large-scale simulations on HPC clusters across multiple scientific computing environments.
- Helpful background: Familiarity with lattice methods or other specialized techniques in a physics field.
How it works
Apply on OpenTrain with your resume and then complete the application on the hiring site.
About AI training work
AI training work is the human side of building artificial intelligence. Contributors create examples, review model answers, and give feedback so AI systems can become more accurate and useful. OpenTrain helps people find these projects, build a profile, and apply in minutes.