Sleep Specialist — Behavioral Sleep Medicine Professional - USA

Verita Ai; United States; A distancia; USD 68.000 - 97.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Fully remote

Descripción de la vacante

Verita Partner seeks a Sleep Specialist in Behavioral Sleep Medicine to support AI research on sleep health. You will annotate time-series data and evaluate AI outputs for accuracy and safety.

This contractor position is fully remote, USA-based, with up to $60/hour and 8-hour daily overlap with PST. Candidates should have 3+ years in a relevant field and familiarity with sleep tracking technologies.

Formación

• 3+ years of experience in sleep science, physiology, psychology, or a related health field.
• Familiarity with sleep tracking technologies (actigraphy, PSG basics, wearables).
• Strong attention to detail and pattern recognition for time-series data.

Responsabilidades

• Annotate sleep stages, duration, onset/wake times, and disturbances from data.
• Classify sleep quality indicators and patterns related to common sleep issues.
• Apply and refine standardized sleep annotation guidelines.
• Maintain accuracy and consistency across large datasets.

Conocimientos

3+ years experience

Sleep science background

Sleep tracking tech

Attention to detail

Time-series data

MacBook preferred

Herramientas

Actigraphy

PSG basics

Consumer wearables

Descripción del empleo

Jobs · Sleep Specialist — Behavioral Sleep Medicine Professional - USA

Verita Partner

Sleep Specialist —

Behavioral Sleep Medicine Professional - USA

We're expanding our expert network with 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’ll 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.

COMPENSATION

• Up to $60/hour for USA-based talent
• 8 hours per day, with an overlap of 4 hours with PST
• Fully remote

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)
• Apply and help refine standardized sleep annotation guidelines
• Maintain accuracy and consistency across large datasets

WHAT WE'RE LOOKING FOR

• 3+ years of experience in a relevant field
• 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

While not required, experience in any of the following is a plus:

• 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)
• Primary: Behavioral Sleep Medicine Specialist (e.g., certified by the American Academy of Sleep Medicine – CBSM), or a Sleep Psychologist (Ph.D. with specialization in sleep)
• Secondary (Bonus): Certification in Sleep Health (CCSH) or Medical Doctor (MD) with a fellowship in Sleep Medicine, or a Sleep Scientist/Researcher
• 2–3 years of experience in sleep therapy, research, or clinical sleep medicine

CONTRACT DETAILS

• Employment type: Contractor assignment/freelancer (no medical/paid leave)
• Start Date: Immediate
• Commitment: 8 hours per day, with an overlap of 4 hours with PST
• Location: USA (approved states, per country-specific guidelines) & India

Why Join?

• Work on the cutting edge of AI
• Fully remote and flexible work environment
• Exposure to advanced LLMs and insight into how they're trained
• Contribute to the development of responsible, evidence-based sleep health AI systems

Please Note

• A MacBook is ideal for completing this work.
• Candidates should be comfortable working with time-series data and annotation platforms as part of daily task delivery.