Biomedical Engineering Quality Assurance Lead

As a Biomedical Engineering Quality Assurance Lead, you will review AI-generated biomedical engineering content and trainer QA work. You will check whether explanations, diagrams, calculations, and problem-solving steps are accurate, clear, safe, and aligned with project rubrics.

You will also give precise written feedback, document recurring quality issues, and help keep guidance consistent as project workflows change.

• Review explanations, diagrams, problem-solving steps, and trainer QA submissions.
• Check biomedical reasoning, calculations, unit consistency, safety considerations, standards awareness, regulatory claims, and instruction-following.
• Share quality expectations, workflow updates, and guidance with trainers and QAs.
• Create and maintain quality notes, style guidance, FAQs, examples, honeypots, calibration tasks, onboarding materials, and project documentation.
• Flag recurring issues, improve workflows, and support activation of contributors whose work is inconsistent.
• Raise concerns when biomedical engineering recommendations may be unsafe, misleading, or overconfident.

This is a remote, part-time contractor role for people based in the United States. The work requires strong English communication and the ability to give clear technical feedback and coordinate with a remote team.

• Pay: $105 per hour.
• Time: 20+ hours per week.
• Location: United States.
• Work type: Remote contractor, part time.
• Education: A bachelor's or master's degree in biomedical engineering, bioengineering, medical engineering, biomechanical engineering, electrical engineering with a biomedical focus, mechanical engineering with a biomedical focus, or a closely related field.
• Experience: At least 3 years in biomedical engineering, medical devices, biomechanics, biomaterials, bioinstrumentation, clinical engineering, research and development, regulatory documentation, technical review, engineering education, or related work.
• Evaluation skills: Ability to find flaws in assumptions, calculations, units, standards references, and safety reasoning using detailed rubrics.
• Technical familiarity: MATLAB, Python, LabVIEW, SolidWorks, CAD or CAE tools, signal processing, medical device documentation, ISO or FDA-related documentation, or biomedical data analysis tools.
• Preferred background: Supporting remote teams of trainers, annotators, reviewers, engineers, technical writers, or quality assurance specialists.
• Helpful experience: AI training, data annotation, large language models, prompt or response evaluation, technical content QA, biomedical content QA, or rubric-based LLM evaluation.
• Work style: Comfort with remote tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems.

Apply on OpenTrain with your resume, then complete the application on the hiring site.

AI training work uses human review to improve how artificial intelligence explains information, follows instructions, and handles specialized topics. Biomedical engineering experts are needed because accurate review requires careful judgment about calculations, safety, standards, and technical reasoning.