Dermatology AI Quality Reviewer (Remote, Contract)

Joblet-AI; United Arab Emirates; Remote; AED 43,000 - 65,000; Part time

Job summary

Joblet-AI is seeking an experienced Dermatology Medical Reviewer to evaluate AI-generated dermatology content and images in a remote, contractor role. The reviewer will assess accuracy, safety, and relevance of medical text and diagnoses, contributing to responsible AI in healthcare.

You will review dermatology-related outputs, provide expert feedback, and collaborate with AI researchers to ensure alignment with dermatology standards.

Qualifications

• MBBS with completed Dermatology residency.
• Minimum 5 years post-residency experience in dermatology.
• Based in India (mandatory).
• Strong visual attention to detail.
• Comfortable reviewing sensitive or graphic medical images.
• Technically savvy—navigate web-based annotation platforms and follow guidelines.
• Experience in medical content review or AI/ML evaluation preferred.
• Engagement type: Contractor; 4 hours per day and 40 hours per week with overlap.

Responsibilities

• Review AI-generated medical text for accuracy, harmfulness, and completeness, focusing on dermatology.
• Evaluate diagnoses, treatment plans, and summaries for dermatologic cases.
• Provide expert feedback to improve medical integrity and safety of LLM outputs.
• Collaborate with AI researchers and clinicians to align model performance with evidence-based dermatology standards.

Skills

Attention to detail

Dermatology expertise

Medical image review

Remote collaboration

Annotation navigation

Education

MBBS with Dermatology residency

5+ years post-residency experience in dermatology

Tools

Annotation platforms

Image zoom/tools

Job description

Joblet-AI is seeking an experienced Dermatology Medical Reviewer to evaluate AI-generated dermatology content and images in a remote, contractor role. The reviewer will assess accuracy, safety, and relevance of medical text and diagnoses, contributing to responsible AI in healthcare.

You will review dermatology-related outputs, provide expert feedback, and collaborate with AI researchers to ensure alignment with dermatology standards.