Remote PT Clinical Video Annotator for AI Care

Sword Health; Portugal; Remote; EUR 30,000 - 42,000; Full time

Job summary

Sword Health is seeking a qualified physical therapist to join our Data & Tooling team as a remote exercise-annotation specialist. You will watch sessions, assess movement quality, and provide structured clinical feedback to ground our AI models.

This full-time role (40 hours/week) is remote with a part-time option (min 20 hours/week). You’ll calibrate with peers, review others’ work, and ensure consistency across high-volume assessments.

Qualifications

• Qualified physical therapist – active or recently practicing.
• Confident clinical judgment across a broad range of musculoskeletal physical exercises.
• Comfortable with high-volume, repetitive assessment work.
• Strong attention to detail and ability to apply scoring criteria consistently.
• Fluency in English (all guidelines and feedback are in English).
• Reliable internet connection and a desktop or laptop computer.
• Comfortable with web-based tools (full training provided).

Responsibilities

• Watching exercise session recordings and scoring movement quality using the clinical assessment framework.
• Providing rep-level assessments, session-level summaries, and structured written feedback.
• Reviewing and quality-checking assessments produced by other annotators on the team.
• Flagging ambiguous cases, unusual presentations, and content quality issues.
• Participating in calibration sessions with other annotators to maintain scoring standards.
• Working full-time (40 hours/week), remotely, using Sword’s web-based annotation tools. Part-time option is also available (min 20 hours/week)

Skills

Clinical judgment

Attention to detail

English fluency

High-volume work tolerance

Education

Qualified physical therapist

Job description

Sword Health is seeking a qualified physical therapist to join our Data & Tooling team as a remote exercise-annotation specialist. You will watch sessions, assess movement quality, and provide structured clinical feedback to ground our AI models.

This full-time role (40 hours/week) is remote with a part-time option (min 20 hours/week). You’ll calibrate with peers, review others’ work, and ensure consistency across high-volume assessments.