Radiological Health - Freelance AI Trainer Project

Benefits

Parental leave

Not verified

Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

$8-$8/hr From the posting source checked Jun 20, 2026

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Market context

U.S. role benchmark (BLS OEWS)

$55,390 U.S. median for this role

Projected growth (BLS Employment Projections)

-0.1% - Decline

U.S. benchmark only; posted salary is not compared across countries or currencies.

Matched to SOC 25-2021 - Teaching and Education aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Teaching Education From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Radiological Health - Freelance AI Trainer Project Philippines Are you a radiological health expert eager to shape the future of AI? Large‑scale language models are evolving from clever chatbots into powerful engines of scientific discovery. With high‑quality training data, tomorrow's AI can democratize world‑class education, keep pace with cutting‑edge research, and streamline lab work for scientists everywhere. That training data begins with you-we need your expertise to help power the next generation of AI. We're looking for radiological health and health physics specialists who live and breathe radiation protection, dosimetry, nuclear instrumentation, radiation detection and measurement, radiobiology, medical imaging physics, environmental radiation monitoring, and regulatory compliance. You'll challenge advanced language models on topics like ALARA principles, shielding calculations, decay chains, internal and external dose assessments, radioactive waste management, contamination control, and emergency response planning-documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model on clinical, environmental, and nuclear safety scenarios, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics. A PhD in health physics, radiological sciences, nuclear engineering, medical physics, or a closely related field is ideal; board certification (e.g., CHP, ABHP), applied research, regulatory consulting, or hands‑on experience in radiological safety signal fit. Clear, metacognitive communication-“showing your work”-is essential. Ready to turn your radiological health expertise into the knowledge base for tomorrow's AI? Apply today and start teaching the model that will teach the world. We offer a

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