Movement & Physical Activity Expert Annotator

In this role, you'll evaluate AI-generated content for scientific accuracy, safety, and relevance while reviewing and annotating datasets related to physical activity, exercise, and movement patterns. Your work may involve wearable sensor data, activity logs, video, transcripts, and other multimodal data that support the development of next-generation AI models.

COMPENSATION

WHAT YOU'LL DO

WHAT WE'RE LOOKING FOR

We're seeking professionals with:

Successful candidates will also demonstrate:

PREFERRED QUALIFICATIONS

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

• Up to $50/hour for U.S.-based contractors
• 40 hours per week (8 hours/day)
• At least 4 hours of overlap with Pacific Time (PST)
• Fully remote
• 8-week contractor engagement
• Immediate start available
• Annotate activity type, intensity, duration, and movement quality across diverse data sources
• Review wearable sensor data, activity logs, videos, transcripts, and related datasets
• Apply standardized movement and exercise taxonomies (e.g., MET values, exercise classifications, gait and posture labels)
• Evaluate AI-generated responses for scientific accuracy, safety, and clinical relevance
• Identify inconsistencies between self-reported activities and objective data signals
• Flag ambiguous, incomplete, or low-quality data for further review
• Collaborate with domain experts to refine annotation guidelines and improve edge-case handling
• Consistently meet quality, accuracy, and throughput expectations
• 3+ years of experience in a relevant field
• A background in Exercise Science, Kinesiology, Physical Therapy, Sports Science, Human Performance, or a related discipline
• Familiarity with physical activity classification systems and wearable sensor data
• Experience interpreting human movement, biomechanics, or exercise programming
• Strong analytical skills and attention to detail
• Excellent written communication and documentation skills