Biomedical Engineering QA Lead - Remote
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About the Role
**Job Description** **Job Title:** Biomedical Engineering Quality Assurance Lead **Job Type:** Contract **Location:** Remote **About This Role** In this hourly, remote contractor role, you will work as a Biomedical Engineering Quality Assurance Lead 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
Key Skills for This Role
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About This Role
- In this hourly, remote contractor role, you will work as a Biomedical Engineering Quality Assurance Lead 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 a fast-growing AI Data Services company 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.
- Important: There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise.
- This will also provide you with access to future projects available through our expert network.
- Your profile
- Bachelor’s or Master’s degree in Biomedical Engineering, Bioengineering, Medical Engineering, Biomechanical Engineering, Electrical Engineering with biomedical focus, Mechanical Engineering with biomedical focus, or a closely related field.
- Strong grasp of the English language to follow project guidelines, communicate with teams, and provide clear technical feedback in English.
- 3+ years of professional experience in biomedical engineering, medical devices, biomechanics, biomaterials, bioinstrumentation, clinical engineering, R&D, regulatory documentation, technical review, engineering education, or related workflows.
- Strong understanding of core biomedical engineering topics such as biomechanics, biomaterials, medical devices, bioinstrumentation, biosignals, imaging systems, physiological systems, tissue engineering, rehabilitation engineering, and biomedical data analysis.
- Ability to evaluate biomedical engineering content against detailed rubrics and identify issues such as incorrect assumptions, flawed calculations, missing units, unsafe recommendations, weak biological/clinical reasoning, hallucinated standards, regulatory overclaims, or incomplete explanations.
- Familiarity with common biomedical engineering tools or workflows such as MATLAB, Python, LabVIEW, SolidWorks, CAD/CAE tools, signal processing workflows, medical device documentation, ISO/FDA-related documentation, clinical engineering workflows, or biomedical data analysis tools is preferred.
- Experience leading or supporting remote teams of trainers, annotators, reviewers, engineers, technical writers, or QAs is strongly preferred.
- Comfortable working in fast-moving remote environments using tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems.
- Highly detail-oriented and organized, with the ability to maintain style guides, FAQs, trackers, onboarding materials, honeypots, calibration tasks, and other quality documentation.
- Experience with AI training, data annotation, large language models, prompt/response evaluation, technical content QA, biomedical content QA, or rubric-based LLM evaluation is a strong plus.
Key Responsibilities
- Quality monitoring: Spot-check biomedical engineering items, identify quality issues, provide ongoing feedback through DMs, and escalate 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 build scalable QA processes for biomedical engineering AI training projects.
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