[Remote] Biomedical Engineering Quality Assurance Lead (QAL)

Note: The job is a remote job and is open to candidates in USA. SME Careers is a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies. They are seeking a Biomedical Engineering Quality Assurance Lead (QAL) to oversee quality and consistency across biomedical engineering AI training projects, ensuring that generated content meets high standards of accuracy and clarity.ResponsibilitiesQuality monitoring: Spot-check biomedical engineering items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issuesTechnical 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 clarityTrainer and QA communication: Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, quality expectations, and biomedical-engineering-specific review standardsQuestion 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 interpretationTrainer/QA activation management: DM contributors who are inactive or not working, encourage activation, track follow-ups, and flag availability issues when neededDocumentation: Create and maintain biomedical engineering project documentation, including style guides, trackers, FAQs, quality notes, examples, honeypots, calibration tasks, and onboarding materialsOnboarding 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 requirementsQuality alignment: Ensure all trainers and QAs apply biomedical engineering guidelines consistently and understand updates as projects evolveRisk 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 affectedProcess improvement: Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for biomedical engineering AI training projectsSkillsBachelor'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 fieldStrong grasp of the English language to follow project guidelines, communicate with teams, and provide clear technical feedback in English3+ years of professional experience in biomedical engineering, medical devices, biomechanics, biomaterials, bioinstrumentation, clinical engineering, R&D, regulatory documentation, technical review, engineering education, or related workflowsStrong 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 analysisAbility 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 explanationsComfortable working in fast-moving remote environments using tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systemsHighly detail-oriented and organized, with the ability to maintain style guides, FAQs, trackers, onboarding materials, honeypots, calibration tasks, and other quality documentationFamiliarity 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 toolsExperience leading or supporting remote teams of trainers, annotators, reviewers, engineers, technical writers, or QAsExperience with AI training, data annotation, large language models, prompt/response evaluation, technical content QA, biomedical content QA, or rubric-based LLM evaluationCompany OverviewSME Careers by SuperAnnotate connects subject-matter experts, students, and professionals with flexible, remote AI training work such as annotation, evaluation, fact-checking, and content review. It was founded in undefined, and is headquartered in San Francisco, California, US, with a workforce of 11-50 employees. Its website is https://sme.careers/.