Biomedical Engineering AI Evaluation Expert

The work

You will assess how advanced language models handle biomedical engineering concepts. Your reviews will help improve the accuracy, clarity, safety, and limits of AI-generated technical content across health and life-science topics.

• Evaluate AI responses for technical accuracy, logical soundness, completeness, and clarity.
• Create and assess realistic biomedical engineering scenarios, calculations, and design or analysis tasks.
• Review prompts, responses, explanations, and step-by-step solutions for consistent units and correct handling of constraints.
• Find factual errors, unsafe recommendations, unsupported clinical claims, missing assumptions, invalid simplifications, incomplete reasoning, and misuse of standards.
• Assess work involving biomechanics, bioinstrumentation, biomedical signals, medical device design, biomaterials, imaging, verification, validation, and risk.
• Help define clear standards for explaining when experimental verification or review by clinical and regulatory experts is needed.

What it pays and takes

This is a part-time contractor role for someone who can apply professional biomedical engineering judgment to AI-generated technical content.

• Pay: $40-$100 per hour.
• Time: 20+ hours per week.
• Work type: Part-time contract.
• Language: English.
• Location: Open to candidates in Australia, Bangladesh, Bhutan, Brazil, Cambodia, Canada, Germany, India, Indonesia, Malaysia, Nepal, New Zealand, Pakistan, Singapore, Sri Lanka, Thailand, the Philippines, the United Kingdom, the United States, Timor-Leste, and Vietnam.
• Education: Bachelor's degree in Biomedical Engineering or a closely related field.
• Experience: At least four years of professional biomedical engineering experience in a relevant specialty.
• Knowledge: Biomedical engineering fundamentals, technical assumptions, constraints, unit consistency, uncertainty, and safety.
• Judgment: Ability to distinguish defensible technical reasoning from unsupported claims, including claims involving patient safety, clinical use, and regulatory-sensitive content.

Helpful background

Experience with AI data training, annotation, red-teaming, or evaluation of AI-generated technical content is useful. Familiarity with medical device design, physiological signals, quality and regulatory work, manufacturing validation, or clinical workflow constraints is also helpful.

• ISO 13485
• ISO 14971
• IEC 60601
• FDA design controls
• ISO 10993

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 systems that learn from examples, including reviewing model responses and testing technical reasoning. Experts are paid to apply their knowledge so AI systems produce more accurate, useful, and responsible answers.