Company Description:

Million Logics is a trusted Oracle Partner and global leader in IT solutions, with operations in London, UK, and a development hub in Hyderabad, India. Specialising in creative and scalable services, Million Logics empowers enterprises through data & AI, cloud solutions, IT consulting, and custom application development. With a team of 85+ AI/ML experts, we deliver tailored solutions that foster digital transformation and operational excellence. We're committed to client success. We blend world-class technical expertise with strategic insight to deliver results

Role Overview:

We are seeking experienced Movement & Physical Activity Experts to help evaluate and enhance large language model (LLM) outputs related to human movement, physical activity, and exercise science. You’ll assess AI-generated content for scientific accuracy, safety, and relevance - contributing to the development of responsible AI in health and fitness. Selected talents will review and label data related to physical activity, exercise, and movement patterns (e.g., wearable sensor data, activity logs, video, or text) to support the training and evaluation of AI/health models.

What You'll Do Day-to-Day:

- Annotate activity type, intensity, duration, and movement quality from raw data sources (sensor streams, logs, video, or transcripts).
- Apply standardised taxonomies (e.g., MET values, exercise categories, gait/posture labels) 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 and edge-case handling.
- Meet accuracy and throughput targets while maintaining inter-annotator agreement.

Offer details:

- Mode of work: Remote
- Employment Type: Contract
- Commitments Required: 8 hours per day with an overlap of 4 hours with PST.
- Compensation: Competitive
- Number of positions: 35+

Requirements :

- Background in exercise science, kinesiology, physical therapy, sports science, or related field.
- Familiarity with physical activity classification systems and wearable/sensor data.
- Strong attention to detail and ability to follow detailed labelling guidelines.
- Comfort working with spreadsheets, annotation tools, or labelling platforms.
- Ideal to have a Mac Book.

Preferred Qualifications:

- Prior data annotation or labelling experience, especially in health/fitness domains.
- Experience with wearable device data (e.g., accelerometer, heart rate, GPS).
- Basic understanding of AI/ML data pipelines.
- Primary: Certified Personal Trainer (CPT) from a recognised organisation (e.g., ACE, NASM, ACSM, NSCA), Exercise Physiologist (EP-C, ACSM), or Kinesiologist.
- Secondary (Bonus): Physical Therapist (PT/DPT), Sports Scientist, or a related degree in Exercise Science/Kinesiology.
- Experience: Minimum 2-3 years of practical experience coaching individuals or groups in fitness, rehabilitation, or sports performance.

How to Apply:

- Please apply here on Linked In or share your updated CV with us at with the email subject: Movement & Physical Activity Annotator

📌 Physical Therapist (India)
🏢 Millionlogics
📍 India