Freelance Healthcare Expert
Freelance Healthcare Data Expert
Uber AI Solutions is Uber’s marketplace connecting freelancers with Generative AI researchers. We’re inviting experienced Healthcare professionals to collaborate on a new project at the frontier of GenAI. This is a freelance, paid remote-opportunity, designed for independent contractors who want to apply their Healthcare expertise to help shape how AI handles complex Healthcare language.
What you’ll work on
- Apply your Healthcare expertise to define ground truth and refine LLM performance.
- Draft, review, and refine complex, multi-constraint prompts to ensure they are logically sound, precisely structured, and optimized for high-level AI reasoning.
- Compose "golden responses" that serve as the authoritative target for AI performance, requiring exceptional reasoning, factual precision, and structural clarity.
- Analyze model-generated responses against established quality guidelines to measure alignment with target expectations.
- Identify logical fallacies, subtle nuances, and edge cases to ensure every response meets a supreme professional standard.
Project Details
- Location: Remote located in United States.
- Type: Freelance Independent Contractor .
- Compensation: $80 - $130 / hour
Who we’re looking for
- MD, DO, NP, PA, PharmD, PhD, MSN, MPH, or DNP from an accredited institution highly preferred.
- 5+ years of experience in clinical practice, medical research, or health informatics, or related fields.
- Prior experience in Data / AI / LLM Annotation, Labeling, or Training experience preferred.
- Board-certified Physicians, Surgeons, and Pharmacists.
- Specialized Nurse Practitioners and Physician Assistants.
- Clinical Researchers and Academic Medical Faculty.
- Public Health Experts and Medical Informatics Specialists.
Why this matters
Your expertise will guide how AI systems handle the weight of Healthcare language. By evaluating and refining Healthcare prompts and responses, you’ll help ensure that AI is not only accurate but also clear, safe, and clinically sound for real-world application.