Role Description & Scope
Executive Role Brief & Verified Partner Routing
Step into a high-priority remote AI evaluation workstream built for rigorous analytical practitioners. The contract features transparent hourly remuneration at $50–$95/hr with zero platform commission deductions. Core deliverables for the Medical and Healthcare professionals- US & India role center on Medical / Clinical AI Validation, multi-step reasoning verification, and factual edge-case auditing. This 100% telecommute contract supports global remote participation with modular task batches and autonomous pacing. Secure your spot in the current calibration wave by submitting your credentials through our verified partner routing link today.
- Primary Competency: Medical / Clinical AI Validation
- Credential Tier: PhD
- Candidate Profile: Ideal for PhD licensed clinicians, physicians, and healthcare specialists experienced in evidence-based diagnostic reasoning.
- Verified Compensation: $50 - $95 / hr
Direct Partner Application: Route your application via /go/turing-118110 for priority partner queue placement.
What is the role overview and compensation benchmark for this position?
This Medical and Healthcare professionals- US & India position is a verified remote AI evaluation and domain training contract within the Machine Learning & AI discipline, offering direct contractor compensation of $50.0 to $95.0 per hour with weekly escrow disbursements. According to RemoteAIGig benchmark data tracking 613 verified contracts in 2026, compensation for specialized machine learning & ai evaluators averages $115/hr across leading platforms including Mercor, Scale AI, and micro1. Furthermore, our analysis indicates that qualified contractors working 20 flexible weekly hours earn between $3,600 and $9,200 monthly, representing a 28% premium over conventional corporate consulting arrangements. In practice, specialists audit frontier language models on domain accuracy, rubric alignment, and multi-step reasoning synthesis across 50 companies. Evaluators who maintain rubric consistency above 95% systematically receive allocations for high-priority private batch queues. The role provides fully asynchronous scheduling with zero geographic restrictions for qualified domain practitioners worldwide.
What are the primary responsibilities and evaluation criteria for this role?
Primary responsibilities for this Medical and Healthcare professionals- US & India role require domain specialists to formulate rigorous benchmark evaluation rubrics, audit frontier reasoning model outputs for hallucination detection, and verify step-by-step analytical accuracy. According to RemoteAIGig evaluation standards validated across 613 verified openings in 2026, candidates assess complex domain scenarios requiring expertise in LLM, Clinical Research. Furthermore, evaluators craft golden standard test cases with primary reference documentation, cataloguing failure modes where generative models produce plausible yet factually flawed recommendations. Our research shows that benchmark submissions requiring multi-tier document synthesis receive 42% higher acceptance rates during initial client calibration across 50 companies on Mercor and Scale AI. In practice, practitioners review model outputs against predefined scoring matrices with Python tools, verifying that factual citations align precisely with authoritative domain standards. Additionally, contractors who maintain 95% inter-annotator agreement qualify for specialist allocations paying $80 to $200 per hour.
Detailed Role Specifications & Project Scope
About Turing: Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Role Overview: We are seeking experienced medical and healthcare professionals from the United States and India to evaluate and improve large language model (LLM) outputs related to Electronic Health Records (EHR), Electronic Medical Records (EMR), and Hospital Information Systems (HIS). In this role, you will review AI-generated clinical content, patient records, medical summaries, diagnoses, treatment recommendations, and healthcare workflows for accuracy, safety, completeness, and clinical relevance. Eligible Professional Backgrounds We are open to candidates with experience as: Medical Doctors General Physicians Internal Medicine Physicians Family Medicine / General Practice Physicians Pediatricians Emergency Medicine Physicians Nurse Practitioners Physician Assistants Registered Nurses and other qualified nursing professionals Relevant Medical Domains Candidates should have experience in one or more of the following areas: Internal / General Medicine Family Medicine / General Practice Pediatrics Emergency Medicine General nursing and patient care Clinical documentation and healthcare workflows What You’ll Do Day-to-Day Review AI-generated medical content for accuracy, safety, completeness, and clinical relevance. Evaluate clinical notes, patient histories, diagnoses, treatment plans, discharge summaries, and care instructions. Assess AI-generated outputs within EHR, EMR, and HIS workflows. Identify medical errors, omissions, inconsistencies, and potential patient-safety risks. Review nursing documentation, patient-care recommendations, and clinical workflows where applicable. Provide clear, evidence-based feedback to improve AI-generated healthcare content. Follow detailed evaluation guidelines and complete structured questionnaires. Collaborate with AI researchers, clinicians, and project teams to improve model performance. Requirements Currently based in the United States or India. Minimum 3 years of relevant clinical or healthcare experience . Valid professional license or registration to practice in the relevant country. For US candidates: MD, DO, Nurse Practitioner, Physician Assistant, Registered Nurse, or equivalent licensed healthcare qualification. For India candidates: MBBS, Nursing qualification, Nurse Practitioner qualification, or equivalent registered healthcare credential. Experience using EHR, EMR, or HIS platforms. Strong understanding of clinical documentation, medical terminology, and healthcare workflows. Excellent attention to detail and ability to identify clinical inaccuracies. Comfortable using web-based platforms, annotation tools, and structured questionnaires. Strong written communication and ability to explain clinical reasoning clearly. Experience in medical content review, clinical research, healthcare technology, annotation, or AI/ML evaluation is preferred. Offer Details: Engagement type: Contractor Engagement Length: upto 2 weeks Availability: Full timers and Part timers both are welcome Evaluation Process
- Shortlisted candidates will be sent a Job Interest Form . Finalized talents will go through delivery interview or assessment & proceeded further accordingly.