- Experience
- 2+ yrs
- Salary
- USD 30 – USD 40 / hour
- Openings
- 1
- Posted
- 4 weeks ago
- Work mode
- Work from home
- Eligibility
- Licensed healthcare professionals with active certification and at least 2 years of relevant clinical experience may apply. Candidates from all backgrounds are welcome if they meet the skills and qualification requirements.
- Resume
- Required to apply
Job description
Role summary
This is a contract healthcare specialist position supporting a client project focused on checking medical information used in AI training datasets. The assignment is fully remote and open to candidates working from anywhere. Compensation is set at $30 to $40 per hour.
What you'll do
- Examine medical content used for AI training and confirm that it is clinically accurate and appropriate.
- Check case studies, research materials, and clinical guidance against the relevant specialty requirements.
- Share precise feedback on medical terminology, medication interactions, and diagnostic standards in AI-generated output.
- Work alongside data science teams to improve healthcare AI models using validated clinical input.
- Handle sensitive medical datasets and AI training materials with strict confidentiality.
What we're looking for
- An active license or certification in a healthcare field such as medicine, nursing, or pharmacy.
- At least 2 years of hands-on experience in clinical practice, patient care, or medical education.
- Working knowledge of common medical coding systems, including ICD-10, CPT, and SNOMED CT.
- Ability to read and assess complex medical literature and clinical case material for correctness.
- Comfort using digital tools for medical documentation and content review.
- Strong attention to detail and a consistent commitment to high clinical standards.
Additional information
The client is part of the technology, information, and internet sector and is building responsible AI systems for healthcare use cases. The role provides exposure to modern AI training practices while allowing you to apply your clinical background.
Equal opportunity statement
Selection is based on skills and qualifications. Candidates from all backgrounds are welcome, and reviews are conducted only on demonstrated capability and relevant credentials.