Remote QA leadership opportunity for experienced medical professionals to oversee AI training quality, review clinical reasoning and healthcare content, evaluate patient-safety risks, identify medical accuracy issues, and support contributors across medical AI projects.
Biomedical Engineering Quality Assurance Lead (QAL)
United States
Up to $105/hr
June 15, 2026
Job description
About the Role
This is a remote, hourly contractor role for a Biomedical Engineering Quality Assurance Lead (QAL) responsible for overseeing quality, consistency, and contributor performance across biomedical engineering AI training projects.
You will review AI-generated biomedical engineering content, evaluate trainer and QA work, maintain technical quality standards, support onboarding activities, manage contributor performance, and ensure adherence to biomedical engineering review guidelines and evaluation rubrics.
The role combines biomedical engineering expertise, technical quality assurance, AI evaluation, regulatory awareness, patient-safety considerations, contributor support, and process improvement.
Key Responsibilities
Quality Monitoring
- Review biomedical engineering training items and QA outputs
- Identify quality issues and recurring technical errors
- Provide detailed feedback to contributors
- Escalate critical quality concerns
Technical Review
Evaluate AI-generated biomedical engineering explanations, medical device analyses, biomechanics calculations, biomaterials discussions, bioinstrumentation workflows, biosignal processing explanations, medical imaging concepts, physiological system analyses, tissue engineering discussions, and biomedical data analyses.
Verify technical accuracy, biomedical reasoning quality, calculation correctness, unit consistency, biological and clinical relevance, regulatory awareness, safety considerations, and clarity of explanation.
Trainer & QA Communication
- Communicate guideline updates and workflow changes
- Clarify biomedical-engineering-specific review standards
- Maintain contributor alignment
Question Resolution
Respond to contributor questions regarding engineering assumptions, biomedical calculations, device safety considerations, biological context, clinical relevance, regulatory expectations, standards references, units and formulas, and rubric interpretation.
Contributor Activation Management
- Follow up with inactive contributors and track engagement
- Encourage participation and task completion
Documentation Management
Create and maintain style guides, biomedical engineering FAQs, quality notes, calibration tasks, examples, trackers, honeypots, and onboarding materials.
Onboarding & Training
- Conduct onboarding and training sessions
- Explain project workflows, evaluation rubrics, biomedical engineering standards, technical review procedures, safety expectations, and regulatory-awareness requirements
Risk & Safety Review
Identify and flag unsafe medical-device recommendations, patient-safety concerns, misleading biomedical claims, unsupported clinical conclusions, regulatory overclaims, diagnostic misuse risks, imaging-related safety concerns, and rehabilitation-device risks.
Process Improvement
- Identify recurring quality gaps and recommend workflow improvements
- Help build scalable QA processes for biomedical engineering projects
Required Skills & Qualifications
- Bachelor's or Master's degree in Biomedical Engineering, Bioengineering, Medical Engineering, Biomechanical Engineering, or related discipline
- 3+ years of professional experience in biomedical engineering, medical devices, biomechanics, biomaterials, bioinstrumentation, clinical engineering, biomedical R&D, or regulatory documentation
- Strong understanding of biomechanics, biomaterials, medical devices, bioinstrumentation, biosignals, medical imaging systems, physiological systems, tissue engineering, and biomedical data analysis
- Ability to identify incorrect assumptions, calculation errors, missing units, unsafe recommendations, weak biological/clinical reasoning, regulatory overclaims, hallucinated standards, and biomedical design flaws
- Strong written English, technical feedback, and documentation skills
Preferred Qualifications
- Experience with MATLAB, Python, LabVIEW, SolidWorks, CAD/CAE tools, signal processing workflows, or biomedical data analysis tools
- Familiarity with FDA documentation workflows, ISO documentation, medical-device development processes, or clinical engineering workflows
- Experience leading or supporting engineers, technical reviewers, QA teams, or annotation teams
- Experience with AI training, data annotation, LLM evaluation, or rubric-based QA
- Familiarity with Discord, Google Docs, Google Sheets, and project management systems
Additional Information
- Fully remote — Flexible schedule — Weekly payments
- Access to future opportunities through the SME Careers expert network
About SME Careers
SME Careers is an AI data services company and subsidiary of SuperAnnotate that provides training data for leading AI companies and foundation-model laboratories.
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