Remote Movement Data Annotator (Exercise Science)

Crossing Hurdles; United States; On-site; USD 44,000 - 61,000; Full time

Job summary

Crossing Hurdles is seeking a Movement & Physical Activity Annotator to work remotely, committing 30–40 hours per week. You will annotate activity type, intensity, duration, and movement quality from raw data sources and apply standardized taxonomies.

You should have a background in exercise science or related field, be familiar with activity classification systems and wearable data, and maintain high accuracy while meeting throughput targets.

Qualifications

• Background in exercise science, kinesiology, physical therapy, sports science, or related field.
• Familiar with physical activity classification systems and wearable/sensor data.
• Strong attention to detail and ability to follow labeling guidelines.
• Comfortable working with spreadsheets and annotation tools.

Responsibilities

• Annotate activity type, intensity, duration, and movement quality from raw data sources.
• Apply standardized taxonomies consistently across datasets.
• Flag ambiguous, incomplete, or low-quality data for review.
• Identify inconsistencies between self-reported activity and objective data signals.
• Collaborate with domain experts to refine annotation guidelines.
• Meet accuracy and throughput targets while maintaining inter-annotator agreement.

Skills

Attention to detail

Follow labeling guidelines

Spreadsheet proficiency

Annotation tools experience

Education

Background in exercise science/kinesiology/physical therapy/sports science or related field

Tools

Annotation tools

Labeling platforms

Spreadsheets

Job description

Crossing Hurdles is seeking a Movement & Physical Activity Annotator to work remotely, committing 30–40 hours per week. You will annotate activity type, intensity, duration, and movement quality from raw data sources and apply standardized taxonomies.

You should have a background in exercise science or related field, be familiar with activity classification systems and wearable data, and maintain high accuracy while meeting throughput targets.