Clinical Video Annotator (Physical Therapist) - Contractor

WeekdayDoc's proprietary algorithm rates Clinical Video Annotator (Physical Therapist) - Contractor at Sword Health a 4.0 out of 10 for work-life balance — classified as below average. This places the position in the average range of all Physical Therapy psychologist listings evaluated on our platform. Contributing factors include no on-call duties, no weekend requirements, remote work flexibility.

Candidates should carefully assess workload expectations and scheduling demands before applying.

This Physical Therapy position at Sword Health is open to psychologist candidates.

Psychologists are seeing unprecedented demand driven by the mental health crisis, with telehealth dramatically expanding access and enabling fully remote practice.

Remote psychologist positions in Physical Therapy have grown significantly in recent years, offering clinicians the ability to maintain a full patient panel without geographic constraints or commute-related burnout.

This position also offers production-based compensation: $500000 per hourly. Production bonuses can significantly increase total earnings above the stated base salary range.

This is a fully remote psychologist position. Remote clinicians can practice from any state where they hold an active license, eliminating commute time and offering maximum schedule flexibility. Many remote healthcare positions also allow providers to establish a more sustainable long-term practice pattern.

Key skills and qualifications: Physical therapy, Clinical judgment, Musculoskeletal assessment, Data annotation, Attention to detail, Video analysis, Exercise quality assessment, Clinical documentation. Candidates with experience in these areas may be especially well-suited for this Physical Therapy role.

Core responsibilities: You will watch recorded exercise sessions to provide structured clinical assessments that serve as ground truth for AI model training. This involves scoring movement quality, providing rep-level feedback, and maintaining consistency across high-volume data annotation tasks.