Remote Sleep Data Annotator — Behavioral Sleep Science

Crossing Hurdles; United States; On-site; USD 52,000 - 74,000; Full time

Job summary

Crossing Hurdles is seeking a Sleep Specialist / Behavioral Sleep Medicine Professional Annotator to annotate sleep data from sensors, logs, or diaries, and help refine standardized guidelines. This remote role requires sharp analysis of time-series data and consistent annotation practices.

The position offers $46/hr with 30-40 hrs/week commitment and a background in sleep science, plus familiarity with actigraphy and PSG basics to ensure accurate classifications and quality datasets.

Qualifications

• Background in sleep science, physiology, psychology, or related health field.
• Familiarity with sleep tracking technologies such as actigraphy and PSG basics.
• Strong attention to detail and pattern recognition skills.
• Comfort working with time-series data and annotation platforms.

Responsibilities

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

Skills

Attention to detail

Pattern recognition

Time-series data handling

Annotation platforms

Actigraphy familiarity

PSG basics

Sleep science background

Education

Sleep science or related health field

Tools

Annotation software

Actigraphy data

PSG basics equipment

Job description

Crossing Hurdles is seeking a Sleep Specialist / Behavioral Sleep Medicine Professional Annotator to annotate sleep data from sensors, logs, or diaries, and help refine standardized guidelines. This remote role requires sharp analysis of time-series data and consistent annotation practices.

The position offers $46/hr with 30-40 hrs/week commitment and a background in sleep science, plus familiarity with actigraphy and PSG basics to ensure accurate classifications and quality datasets.