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Remote Hospitals & Health Systems Expert - AI Trainer ($1750-$2150 per hour)Mercor • Eugene, Oregon, US
Remote Hospitals & Health Systems Expert - AI Trainer ($1750-$2150 per hour)

Remote Hospitals & Health Systems Expert - AI Trainer ($1750-$2150 per hour)

Mercor • Eugene, Oregon, US
Hace 13 días
Tipo de contrato
  • A tiempo completo
  • A tiempo parcial
  • Teletrabajo
Descripción del trabajo
  • 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 clinical and operational leaders from large US hospital systems and academic medical centers (e.g., HCA, Kaiser, Cleveland Clinic, Mayo, Ascension, CommonSpirit, large AMCs) 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 clinical operations, hospital administration, revenue cycle, or service-line management to build a high-fidelity environment that mirrors the tools, files, and workflows of a modern health system — 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 meeting materials, service-line dashboards, quality & safety reports, policies, staffing plans, budgets, and email threads that reflect how you actually organize your work — with some representation of the platforms that support it (e.g., Epic / Cerner exports, Philips IntelliSpace PACS, 3M CodeFinder) - 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 hospital and health-system 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 healthcare-operations 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 large US hospital system, academic medical center, or integrated delivery network - Background in one or more areas such as : - Clinical operations (nursing leadership, service-line management, perioperative, ED ops) - Hospital / health-system administration and physician-practice management - Revenue cycle, utilization management, or payer-provider relations - Quality, safety, and accreditation (Joint Commission, CMS Conditions of Participation, HCAHPS) - Population-health / value-based-care program operations - Day-to-day use of Epic / Cerner, Philips IntelliSpace or Sectra PACS, and NLM UMLS / 3M CodeFinder - Strong analytical thinking and writing — able to translate hospital workflows into structured task specs Compensation Note - Task Completion Pay : Competitive and based on task quality (~$1,750 – $2,150 per completed task, subject to change as the project evolves) - Performance Bonus : Top performers receive a weekly bonus incentive on top of their per task rate! - 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 Hospitals & Health Systems Expert - AI Trainer ($1750-$2150 per hour) • Eugene, Oregon, US

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