Postdoctoral Researcher

Labela; Massachusetts; On-site; USD 120,000 - 170,000; Full time

Job summary

Labela seeks an Oncology Research Expert (MD/PhD) to contribute to AI training data and evaluation projects. Board-certified oncologists or oncology researchers will review and assess AI-generated medical content using clinical and research expertise.

Candidates will write or revise clinical scenarios, provide structured feedback on model outputs, and participate in calibration exercises to ensure scoring consistency across contributors.

Qualifications

• MD and PhD required.
• Based in the United States.
• Active oncology research background (published work, trials, or academic 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.

Skills

Oncology expertise

Independent work

Medical writing

Education

MD

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