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Developer • salinas ca

Last updated: 16 hours ago

Remote Medical Devices Expert - AI Trainer ($55-$75 per hour)

MercorSalinas, California, US
Remote
Full-time

Role Overview** Mercor 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 ...Show more

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Remote Software Engineer - AI Trainer ($40-$50 per hour)

MercorSalinas, California, US
Remote
Full-time

Role Overview We’re hiring Software Engineers to build and ship apps for Mercor’s RL Studio platform.The role involves developing MCP servers and sometimes BUAs, integrating real software into sand...Show more

Remote Senior SQL Engineer - AI Trainer

SuperAnnotatePrunedale, California, US
Remote
Full-time

As a Senior SQL Engineer, you will work remotely on an hourly paid basis to review AI-generated SQL queries, database designs, and data-processing logic, as well as generate high-quality reference ...Show more

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Remote Medical Devices Expert - AI Trainer ($55-$75 per hour)

Remote Medical Devices Expert - AI Trainer ($55-$75 per hour)

MercorSalinas, California, US
16 hours ago
Job type
  • Full-time
  • Remote
Job description
  • Role Overview
  • Mercor 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. You'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. Key Responsibilities - 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)

    • 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
    • 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
    • Work asynchronously with research teams to refine task designs and evaluation criteria for medical-device agent benchmarks
    • 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 Ideal Qualifications - 3+ years of full-time experience at a Fortune 500 medical-device manufacturer or large Tier-1 contract developer / manufacturer
    • Background in one or more areas such as : - Regulatory affairs (510(k), PMA, De Novo, EU MDR, technical files) - Quality engineering / eQMS under 21 CFR 820, ISO 13485, ISO 14971 - R&D or design controls (software-of-a-medical-device / SaMD a plus) - Manufacturing engineering, process validation, or supplier quality - Clinical affairs, post-market surveillance, MDR / vigilance reporting
    • Certifications a plus : RAC, ASQ CQE / CRE / CBA
    • Day-to-day use of ANSYS Fluent / STAR-CCM+, Siemens Opcenter or Rockwell FactoryTalk, and DocuSign
    • Strong analytical thinking and writing — able to translate regulated-device workflows into structured task specs Compensation Note This project is expected to begin on an effective hourly rate, but will transition to a model where experts are compensated based on throughput of quality work rather than a flat accruing hourly rate. About Mercor Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations. Backed by investors including Benchmark, General Catalyst, Adam D'Angelo, and Jack Dorsey. Thousands of professionals across domains contribute to projects shaping the next generation of AI systems.