Movement & Physical Activity Annotator | Remote | $38/hr

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

Job summary

Crossing Hurdles is seeking a Movement & Physical Activity Annotator working remotely. The role pays $38/hr and requires 30-40 hours per week.

Candidates should have a background in exercise science or related fields and be proficient with annotation platforms and data labeling guidelines. The position involves annotating activity type, intensity, and movement quality from raw data, applying standardized taxonomies, and flagging data quality issues for review.

Qualifications

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

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

Exercise science

Kinesiology

Sports science

Attention to detail

Tools

Annotation platforms

Job description

Position: Movement & Physical Activity Annotator

Compensation: $38/hr

Location: Remote

Commitment: 30-40 hrs/week

Role 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.

Requirements

• Have a background in exercise science, kinesiology, physical therapy, sports science, or related field.
• Be familiar with physical activity classification systems and wearable/sensor data.
• Demonstrate strong attention to detail and ability to follow detailed labeling guidelines.
• Be comfortable working with spreadsheets, annotation tools, or labeling platforms.