Biomedical Engineering Quality Assurance Lead; QAL

Pay: up to $105/hour

In this hourly, remote contractor role, you will work as a Biomedical Engineering Quality Assurance Lead (QAL) to oversee quality, consistency, and trainer performance across biomedical engineering AI training projects. You will review AI-generated biomedical engineering content and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure that all contributors follow the expected quality standards.

You will assess work for technical accuracy, biomedical reasoning, calculation correctness, standards awareness, regulatory awareness, unit consistency, safety considerations, clarity, formatting, instruction-following, and adherence to project-specific rubrics. You will spot recurring quality issues, communicate updates to trainers and QAs, support onboarding, maintain documentation, and help activate contributors who are not working consistently. This role requires strong biomedical engineering expertise, strong English communication skills, excellent attention to detail, structured communication, and the ability to manage quality workflows across remote technical teams.

This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of Super Annotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your biomedical engineering quality leadership will directly help improve the world’s premier AI models by ensuring that biomedical engineering training data is accurate, logically sound, clearly explained, well-documented, safety-aware, and aligned with client expectations.

Selection process involves an AI interview, a domain-specific task, and an interview with a recruiter.

• Quality monitoring:
  Spot-check biomedical engineering items, identify quality issues, provide ongoing feedback through DMs, and elevate recurring or critical issues.
• Technical review:
  Evaluate AI-generated biomedical engineering explanations, medical-device reasoning, biomechanics calculations, biomaterials discussions, bioinstrumentation workflows, biosignal explanations, diagrams/descriptions, and problem-solving steps for correctness and clarity.
• Trainer and QA communication:
  Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, quality expectations, and biomedical-engineering-specific review standards.
• Question handling:
  Respond to trainer/QA questions clearly and promptly, especially around engineering assumptions, units, formulas, biological context, device safety, regulatory considerations, standards references, and rubric interpretation.
• Trainer/QA activation management: DM contributors who are inactive or not working, encourage activation, track follow-ups, and flag availability issues when needed.
• Documentation:
  Create and maintain biomedical engineering project documentation, including style guides, trackers, FAQs, quality notes, examples, honeypots, calibration tasks, and onboarding materials.
• Onboarding and training:
  Schedule and run onboarding/training calls with trainers and QAs to explain project expectations, workflows, rubrics, quality standards, and biomedical-engineering-specific review requirements.
• Quality alignment:
  Ensure all trainers and QAs apply biomedical engineering guidelines consistently and understand updates as projects evolve.
• Risk and safety review:
  Flag unsafe, misleading, or overconfident biomedical engineering recommendations, especially where medical devices, patient safety, clinical workflows, biological systems, diagnostics, imaging, rehabilitation tools, or regulatory claims may be affected.
• Process improvement:
  Identify recurring quality gaps, propose workflow improvements, and help…