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Certified Occupational Therapy Assistant

Micro1

Posted On: 2026-03-27 18:03:54
Openings: 10
Applicants: 0

Job Description

We are looking for a skilled Certified Occupational Therapy Assistant (COTA) with 2 to 7 years of experience to contribute expertise to innovative AI training initiatives in a fully remote role. The ideal candidate will have hands-on clinical knowledge and the ability to apply it to help train and refine AI systems used in healthcare and rehabilitation contexts.

Roles and Responsibility

Provide expert insight into occupational therapy assistant practices for AI training and data refinement.
Review, analyze, and annotate AI-generated therapy scenarios for clinical accuracy and best-practice alignment.
Assist in modeling treatment workflows, adaptive strategies, and patient engagement approaches for AI systems.
Contribute to the development of realistic home programs, activities of daily living (ADL) training scenarios, and adaptive equipment usage models.
Document clinical processes clearly and accurately to support high-quality AI datasets.
Evaluate AI outputs related to patient progress documentation and therapy planning.

Job Requirements

Certified Occupational Therapy Assistant (COTA) credential required.
Demonstrated clinical experience supporting occupational therapists in rehabilitation or therapeutic settings.
Strong understanding of treatment planning, ADLs, adaptive equipment, and patient progress documentation.
Proficiency with relevant healthcare and therapy software, including BrainTrain IVA+Plus, BrainTrain Captains Log, Language Arts and Math Educational Software, eClinicalWorks EHR Software, Laboratory Information Systems, Visual Health Information (VHI) PC-Kits, and Database tools such as Dbase, FileMaker Pro, Microsoft Access.
Exceptional written and verbal communication skills.
Strong attention to detail and documentation accuracy.
Comfortable working independently in a remote, technology-driven environment.
Experience contributing to AI model training, healthcare data annotation, or digital health initiatives is preferred.
Familiarity with virtual care delivery models.
Experience working with diverse patient populations across age groups and rehabilitation settings.
Background in digital content development or clinical education support is preferred.