Dermatology Medical Reviewer (Remote)

Joblet-AI; United Arab Emirates; A distancia; AED 43.000 - 65.000; A tiempo parcial

Descripción de la vacante

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.

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

Attention to detail

Dermatology expertise

Medical image review

Remote collaboration

Annotation navigation

Educación

MBBS with Dermatology residency

5+ years post-residency experience in dermatology

Herramientas

Annotation platforms

Image zoom/tools

Descripción del empleo

• Role Title: Dermatology Medical Reviewer (Remote)


• Role Type: Contractor


• Location: Remote

Role Overview:

We are seeking an experienced Dermatologist to help evaluate and enhance large language model (LLM) outputs in the medical domain. You’ll assess AI-generated clinical content for dermatological accuracy, safety, and relevance — contributing to the development of responsible AI in healthcare.

We are seeking India-based dermatologists to review dermatology images using a structured online evaluation tool. The work involves assessing image quality and diagnostic usability; identifying concerns such as blur, lighting, exposure, colour, and framing; and, where applicable, identifying likely skin conditions, assigning confidence ratings, and documenting rationale.

What You'll Do Day-to-Day:

1. Review AI-generated medical text for accuracy, harmfulness, and completeness, with focus on dermatology.

2. Evaluate diagnoses, treatment plans, and summaries for dermatologic cases.

3. Provide expert feedback to improve medical integrity and safety of LLM outputs.

4. Collaborate with AI researchers and clinicians to align model performance with evidence-based dermatology standards.

Requirements:

1. MBBS withompleted Dermatology residency.

2. Minimum 5 years of post-residency experience in dermatology.

3. Based in India (mandatory).

4. Strong visual attention to detail

5. Comfortable reviewing sensitive or graphic medical images

6. Technically savvy—able to navigate web-based annotation platforms, use image zoom/tools, follow detailed guidelines, and accurately complete structured questionnaires.

7. Experience in medical content review, clinical research, annotation or AI/ML evaluation preferred.

1. Engagement type: Contractor assignment/freelancer (no medical/paid leave)

2. Commitment Required: At least 4 hours per day and a total of 40 hours per week with 4 hours of overlap with PST.

3. Duration: 12 weeks

Evaluation Process:

1. Shortlisting based on qualifications, assessment scores and one round of interview.

What You’ll Do

1. Review AI-generated medical text for accuracy, harmfulness, and completeness, with focus on dermatology.

2. Evaluate diagnoses, treatment plans, and summaries for dermatologic cases.

3. Provide expert feedback to improve medical integrity and safety of LLM outputs.

4. Collaborate with AI researchers and clinicians to align model performance with evidence-based dermatology standards.