Postdoctoral Researcher

Labela; Town of Florida (NY); On-site; USD 90,000 - 150,000; Full time

Job summary

Labela is seeking an Oncology Research Expert to contribute to AI training data. Board-certified oncologists or oncology researchers with both MD and PhD are required to review, write, and assess AI-generated medical content related to oncology.

You will draw on clinical and research experience to identify errors or gaps in reasoning and provide structured feedback, working independently on a computer-based platform from the United States.

Qualifications

• MD and PhD required.
• Based in the United States.
• Active oncology research background.
• Current or prior clinical oncology practice preferred.
• Comfortable working independently on a computer-based platform.

Responsibilities

• Evaluate AI model outputs for medical accuracy in oncology-related tasks.
• Write or revise clinical scenarios, case reasoning, and treatment rationale.
• Provide structured feedback on model errors or omissions.
• Complete calibration exercises to establish scoring consistency across contributors.

Skills

Oncology research experience

Independent computer-based work

Education

MD and PhD

Job description

Oncology Research Expert — AI Training Data Contributor (MD/PhD)

About Labela

Labela builds evaluation and training data for frontier AI labs by working with verified subject matter experts. We recruit physicians, scientists, and specialists to help improve AI model performance in complex, high-stakes domains.

Role

Labela is recruiting board-certified oncologists or oncology researchers holding both an MD and PhD to contribute to AI training and evaluation projects. Contributors review, write, and assess AI-generated medical content related to oncology, drawing on clinical and research expertise to identify errors, ambiguity, or gaps in reasoning.

Requirements

• MD and PhD, both required
• Based in the United States
• Active research background in oncology (published work, clinical trials, or academic research appointment)
• Current or prior clinical oncology practice preferred
• Comfortable working independently on a computer-based platform

Responsibilities

• Evaluate AI model outputs for medical accuracy in oncology-related tasks
• Write or revise clinical scenarios, case reasoning, and treatment rationale
• Provide structured feedback on model errors or omissions
• Complete calibration exercises to establish scoring consistency across contributors