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 Registered Nurse Experts to generate, evaluate, and refine tasks related to nursing practice, clinical workflows, and patient care management for frontier AI initiatives. In this role, experts will build technically accurate, practical tasks that test AI model capabilities in the nursing process, clinical assessment, patient monitoring, and care coordination.
Requirements:
- Professional Experience: ~3–8 years of direct bedside/clinical nursing experience. Must have activelypracticed within the last 3 years to ensure currency with clinical standards.
- Credentials: Active Registered Nurse (RN) licensure in the practicing jurisdiction. Bachelor of Science in Nursing (BSN) is preferred.
- Core Competencies: Practical mastery of the nursing process (Assessment, Diagnosis, Planning, Implementation, Evaluation), patient triage, clinical deterioration identification, care coordination, and interprofessional communication.
- Deliverable History: Proven experience producing clinical deliverables such as nursing care plans, SOAP notes, discharge instructions, SBAR handoff communications, and clinical assessment summaries.
- Exceptional Analytical Thinking: Ability to interpret vital signs, lab values, and clinical symptoms to prioritize patient interventions and evaluate clinical risk.
- Attention to Detail: Strong ability to review clinical scenarios and patient charts to ensure practical realism, safety, and strict adherence to evidence-based nursing standards.
- Communication: Excellent written communication skills for writing realistic clinical vignettes, nursing prompts, and structured evaluation rubrics.
- Independence: Self-motivated and able to work independently, incorporate calibration feedback, and iterate under senior review.
Responsibilities
- In this role, you will be part of a specialized functional pod responsible for creating high-quality training and evaluation data for AI models. Your day-to-day responsibilities will include:
- Producing expert-level tasks and gold-standard solutions in nursing care, clinical assessment, and care coordination that meet the pod's quality bar.
- Authoring realistic clinical scenarios involving nursing assessments, triage decisions, care planning, patient education, and interdisciplinary handoffs.
- Applying rubric standards and grading frameworks set by the Functional SME (Expert) Lead.
- Working under senior review to incorporate calibration feedback, refine outputs, and iterate on task designs.
- Verifying that all created clinical scenarios, patient charts, and nursing interventions are accurate, practical, and compliant with current clinicalguidelines.
- Ensuring consistent alignment with project guidelines, quality benchmarks, and milestone deadlines.
Education & Experience:
- Bachelor's degree or equivalent practical experience in any field.
- Experience in AI evaluation, data annotation, content review, quality assurance, or a related analytical role is preferred but not required.
Offer Details:
- Commitments Required: at least 4 hours per day and upto 40 hours perweek with 4 hours of overlap with PST.
- Engagement type: Contractor
- Engagement Length: 9 weeks
Evaluation Process:
- Shortlisted candidates will be sent a Job Interest Form.
- Final selected candidates will be contacted with the next steps and onboarding requirements.