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OpenTrain AIFor AI Companies

Sleep Health Data Evaluation Specialist

Review AI-generated sleep health content and annotate sleep data from trackers, sensors, logs, and diaries. Apply behavioral sleep medicine knowledge in a remote, part-time contractor role supporting safer, more accurate AI.

OpenTrain AI

Medical & Health

100% Remote

Worldwide

Eligibility

Entry

Experience

Aug 6, 2026

Posted

Open worldwide

Interested in this role?

Create a free OpenTrain account and apply in minutes.

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. OpenTrain AI hires and contracts contributors for specialized projects that help improve how artificial intelligence understands and responds to real-world information.

Create a free OpenTrain account to build your profile, show relevant experience, discover opportunities, and apply in minutes. This remote contractor opportunity offers a way to develop a portfolio in health-focused AI training.

  • Remote work with OpenTrain AI
  • Contractor and part-time opportunity
  • 20+ hours per week
  • English-language project

About AI Training and Data Evaluation

AI training is the human side of building artificial intelligence. Specialists review model responses, classify information, annotate datasets, and provide careful feedback so AI systems become more accurate, relevant, and safe.

In this project, your sleep health knowledge will support evidence-based AI systems. Your evaluations can help models handle sleep information and health content with greater scientific accuracy and responsible judgment.

  • Contribute to the development of modern AI systems
  • Apply subject-matter knowledge to real data and model outputs
  • Work remotely with flexible contractor scheduling

The Role

OpenTrain is recruiting a Sleep Health Data Evaluation Specialist to assess large language model outputs and annotate sleep-related information. You will review sleep patterns, quality indicators, disturbances, and model-generated health content for scientific accuracy, safety, and relevance.

The work combines behavioral sleep medicine knowledge with structured data review. You will work with information from sensor data, sleep trackers, logs, or diaries and apply standardized sleep annotation guidelines across large datasets.

  • Role focus: sleep health data evaluation and responsible AI development
  • Experience level: entry level
  • Data type: text
  • Annotation work includes classification and evaluation rating

What You'll Do

You will evaluate and annotate sleep information carefully and consistently. The role includes reviewing both human-reported and device-derived information, identifying meaningful patterns, and recognizing gaps or potential measurement problems.

  • Review AI-generated sleep health content for scientific accuracy, safety, and relevance
  • Annotate sleep stages, duration, sleep onset, wake times, and disturbances
  • Work with sensor data, sleep trackers, logs, or diaries
  • Classify sleep quality indicators
  • Identify patterns associated with common sleep issues such as insomnia or irregular schedules
  • Compare self-reported sleep information with objective device or sensor data
  • Flag anomalies, missing information, and device or measurement errors
  • Apply standardized sleep annotation guidelines across large datasets
  • Maintain accuracy and consistency during annotation work

Requirements and Helpful Background

A background in sleep science, physiology, psychology, or a related health field is required. You should be able to interpret sleep stages, timing, quality indicators, and common disturbances while exercising sound judgment when evaluating health-related AI content.

Experience with sleep study data, clinical sleep assessments, or health-related data annotation is useful. Familiarity with common sleep scoring standards, including AASM criteria, is also valuable. Access to a MacBook is preferred.

  • Background in sleep science, physiology, psychology, or a related health field
  • Familiarity with actigraphy, basic polysomnography, and consumer sleep wearables
  • Ability to interpret sleep stages, timing, quality indicators, and common disturbances
  • Judgment when evaluating AI-generated health content for scientific accuracy, safety, and relevance
  • Experience comparing self-reported sleep information with objective sensor or device data
  • Comfort working with time series data and annotation platforms
  • Strong attention to detail and pattern recognition skills
  • Familiarity with AASM sleep scoring criteria is valuable
  • Access to a MacBook is preferred

Why This Work Matters

Every major AI system depends on examples prepared and reviewed by people. By evaluating sleep health content and structured sleep information, you will help shape how AI systems interpret specialized health topics and communicate evidence-based information.

AI training and data-labeling work is a growing way to contribute to technology from anywhere with an internet connection. Specialized knowledge is especially valuable in projects that require careful review of scientific and health information.

  • Help improve the accuracy and safety of health-focused AI
  • Build experience in specialized AI training and data evaluation
  • Contribute to cutting-edge technology through detailed human review

How to Apply

Create a free OpenTrain account and build a profile that highlights your sleep health, physiology, psychology, or related experience. Review the opportunity details and apply through OpenTrain in minutes.

This is a worldwide remote contractor opportunity. The project is in English and is structured as part-time work requiring 20 or more hours per week.

  • Create your free OpenTrain account
  • Highlight relevant sleep health and data evaluation experience
  • Apply through OpenTrain
  • Plan for 20+ hours per week
  • Work remotely from anywhere worldwide

Ready to apply?

Create a free OpenTrain account and apply for this role in minutes.

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