You will create and assess evaluation content that tests whether AI requests involving radioactive materials and health physics are safe, unsafe, or need added caution. The work combines specialist judgment, clear written reasoning, and review of model-evaluation tasks.
- Write prompts and scenarios that test the boundary between safe and unsafe requests.
- Classify prompts written by other experts as safe or unsafe.
- Explain the technical safety reasoning behind each decision.
- Revise evaluation work using structured reviewer feedback.
What it pays and takes
- Pay: $85 per approved task.
- Work style: Remote, flexible, and task-based.
- Location: Open to candidates in Australia, Canada, New Zealand, the United Kingdom, and the United States.
- Language: Fluent English is required.
- Education: A master's degree or higher in health physics, radiochemistry, nuclear engineering, or a closely related discipline is required.
- Required skill: Explain technical safety reasoning clearly and precisely.
- Helpful background: AI evaluation, red teaming, or data annotation experience.
- Valuable professional experience: Work as a radiation safety officer, health physicist, or radiochemist, including managing radioactive sources or waste.
How it works
Apply on OpenTrain with your resume, then complete the application on the hiring site.
About AI training work
AI training is the human work behind artificial intelligence, including writing prompts, reviewing model responses, and testing whether outputs are safe. People with specialist knowledge are needed because their judgments help models handle technical and safety-sensitive topics more reliably.