Dermatologist

Curvia AI · India

Company Description:

Curvia AI is a technology and AI solutions company that transforms complexity into opportunity through enterprise solutions, AI-powered automation, and data-driven insights. We build practical, scalable, and human-centered technology grounded in integrity, security, and responsible innovation.

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.

Offer details: 

• Mode of work: Fully Remote
• Employment Type: Contract 
• Commitments Required: Full-time. 40 hours per week with at least 4 hours PST overlap
• Start Date: Immediate
• Number of openings: 30
• Pay: US $90 per day

Requirements:

• MBBS with completed Dermatology residency.
• Minimum 5 years of post-residency experience in dermatology.
• Based in India (mandatory).
• Strong visual attention to detail
• Comfortable reviewing sensitive or graphic medical images
• Technically savvy—able to navigate web-based annotation platforms, use image zoom/tools, follow detailed guidelines, and accurately complete structured questionnaires.
• Experience in medical content review, clinical research, annotation or AI/ML evaluation preferred.

What You'll Do Day-to-Day:

• Review AI-generated medical text for accuracy, harmfulness, and completeness, with focus 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.