Sleep Specialist / Behavioral Sleep Medicine Professional

About Turing

Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.

Role Overview

We are seeking experienced Sleep Specialists / Behavioral Sleep Medicine Professionals to help evaluate and enhance large language model (LLM) outputs related to sleep health and behavioral sleep medicine. You will assess AI-generated content for scientific accuracy, safety, and relevance, contributing to the development of responsible AI that supports evidence-based sleep health information. Selected talents will label and evaluate data related to sleep patterns, quality, and disturbances (e.g., sleep-tracker data, logs, or self-reports) to support AI models focused on sleep health.

What You'll Do Day-to-Day

• Annotate sleep stages, duration, onset/wake times, and disturbances from sensor data, logs, or diaries
• Classify sleep quality indicators and identify patterns consistent with common sleep issues (e.g., insomnia, irregular schedules)
• Cross-check self-reported sleep data against objective device/sensor data for consistency
• Flag anomalies, missing data, or device/measurement errors
• Apply and help refine standardized sleep annotation guidelines
• Maintain accuracy and consistency across large datasets

Requirements

• Background in sleep science, physiology, psychology, or a related health field
• Familiarity with sleep tracking technologies (actigraphy, PSG basics, consumer wearables)
• Strong attention to detail and pattern recognition skills
• Comfort working with time-series data and annotation platforms
• Ideal to have a MacBook

Preferred Qualifications

• Experience with sleep study data or clinical sleep assessments
• Prior data annotation experience in health-related domains
• Familiarity with common sleep scoring standards (e.g., AASM criteria)

Perks of Freelancing with Turing

• Work on the cutting edge of AI
• Fully remote and flexible work environment
• Exposure to advanced LLMs and insight into how they're trained

Offer Details

• Engagement type: contractor assignment / freelancer (no medical or paid leave)
• Duration: 8 weeks

Evaluation Process

• Shortlisting based on qualifications and one round of interview