- Experience
- 2 yrs
- Salary
- USD 30 – USD 40 / hour
- Openings
- 1
- Posted
- 3 weeks ago
- Work mode
- Work from home
- Eligibility
- Licensed healthcare professionals with an active clinical certification and at least 2 years of direct clinical experience or medical education experience are eligible to apply. Candidates must be comfortable working remotely and handling confidential medical data.
- Resume
- Required to apply
Job description
Role overview
This contract role is for a healthcare professional who will support AI training by checking medical information for correctness, relevance, and clinical soundness. The position is remote and can be performed from anywhere. The pay rate is $30 to $40 per hour.
Key responsibilities
- Examine medical content used in AI training datasets and verify that it is clinically accurate and aligned with healthcare standards.
- Assess case studies, research articles, and clinical guidance to confirm they are correct and relevant to the appropriate medical specialty.
- Share detailed input on medical terminology, medicine interactions, and diagnostic criteria within AI-generated material.
- Work with data science teams to improve healthcare AI models using verified clinical knowledge.
- Protect the confidentiality of sensitive medical datasets and proprietary AI training resources.
Required qualifications
- You must be a licensed healthcare professional with an active credential in a clinical field such as medicine, nursing, or pharmacy.
- At least 2 years of hands-on experience in direct clinical work or medical education is required.
- You should be familiar with medical classification systems such as ICD-10, CPT, and SNOMED CT.
- Strong ability to read, understand, and evaluate complex medical literature and case material is needed.
- Comfort with digital tools used for medical documentation and content review is important.
- Excellent attention to detail and a high standard of clinical accuracy are essential for this role.
Additional information
This opportunity is with a global technology company focused on building responsible AI systems for healthcare. It offers exposure to modern AI training workflows while allowing you to apply your clinical background in a new setting.
Equal opportunity
The employer considers applicants based on skills and expertise. Qualified candidates from all backgrounds are encouraged to apply, and selection is based on demonstrated ability and relevant qualifications.