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Mercor
Remote Medical Devices Expert - AI Trainer ($1150-$1450 per hour)Mercor • Thousand Oaks, California, US
Remote Medical Devices Expert - AI Trainer ($1150-$1450 per hour)

Remote Medical Devices Expert - AI Trainer ($1150-$1450 per hour)

Mercor • Thousand Oaks, California, US
14 days ago
Job type
  • Full-time
  • Part-time
  • Remote
Job description
  • Role Overview \n\nMercor is partnering with leading AI labs on Project Atlas — an initiative to build realistic enterprise environments that frontier AI agents are trained and evaluated in. We're seeking experienced medical-device professionals from Fortune 500 device manufacturers (e.g., Medtronic, Stryker, Boston Scientific, Abbott, J&J MedTech, GE Healthcare) to recreate the digital workspaces they run every day and design the tasks that genuinely challenge state-of-the-art AI.\n\nYou'll bring your expertise in device R&D, regulatory affairs, quality, manufacturing, or clinical affairs to build a high-fidelity environment that mirrors the tools, files, and cross-functional workflows of a regulated medical-device enterprise — and then author tasks grounded in the programs you actually run today.\n\n Key Responsibilities \n\n- Build a realistic digital workspace centered on the Drive folders you use day-to-day — the design history files, regulatory submissions, DHF / DMR documents, risk-analysis matrices, validation protocols, CAPA records, and email threads that reflect how you actually organize your work — with some representation of the platforms that support it (e.g., ANSYS Fluent simulations, Siemens Opcenter MES, DocuSign)\n \n- Design multi-step tasks grounded in your real workflows that require navigating multiple apps, files, and stakeholders in a way that meaningfully challenges frontier AI agents\n \n- Collaborate with other medical-device experts in your field to design the environment, shape task scope, and review each other's scenarios for realism and rigor\n \n- Work asynchronously with research teams to refine task designs and evaluation criteria for medical-device agent benchmarks\n \n- Contribute to frontier AI research and benchmarking — the work you produce directly informs how leading labs train and evaluate the next generation of AI systems\n \n\n Ideal Qualifications \n\n- 3+ years of full-time experience at a Fortune 500 medical-device manufacturer or large Tier-1 contract developer / manufacturer \n \n- Background in one or more areas such as : \n \n - Regulatory affairs (510(k), PMA, De Novo, EU MDR, technical files)\n \n - Quality engineering / eQMS under 21 CFR 820, ISO 13485, ISO 14971\n \n - R&D or design controls (software-of-a-medical-device / SaMD a plus)\n \n - Manufacturing engineering, process validation, or supplier quality\n \n - Clinical affairs, post-market surveillance, MDR / vigilance reporting\n \n- Certifications a plus : RAC, ASQ CQE / CRE / CBA\n \n- Day-to-day use of ANSYS Fluent / STAR-CCM+, Siemens Opcenter or Rockwell FactoryTalk, and DocuSign\n \n- Strong analytical thinking and writing — able to translate regulated-device workflows into structured task specs\n \n\n Compensation Note \n\n- Task Completion Pay : Competitive and based on task quality (~$1,150 – $1,450 per completed task, subject to change as the project evolves)\n \n- Performance Bonus : Top performers receive a weekly bonus incentive on top of their per task rate!\n \n- Hourly Opportunity : Top performers may be invited to transition to an hourly compensation model based on sustained quality and throughput.
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Remote Medical Devices Expert - AI Trainer ($1150-$1450 per hour) • Thousand Oaks, California, US

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