Oncology Clinical Researcher (AI Training)
About The Role
What if your deep knowledge of cancer clinical trials could directly shape how AI reasons about oncology — influencing the systems that will transform how we research, diagnose, and treat cancer?
We're looking for experienced Oncology Clinical Researchers to bring real-world clinical rigor into cutting-edge AI development. You'll evaluate and validate AI-generated oncology insights, ensuring that the models being built by the world's leading AI labs are grounded in genuine scientific, regulatory, and clinical expertise.
This is a fully remote, flexible contract role. If you've spent years designing trials, interpreting endpoints, and navigating regulatory submissions — this is a rare opportunity to apply that expertise at the frontier of AI.
* Organization: Alignerr
* Type: Hourly Contract
* Location: Remote
* Commitment: 10–40 hours/week
What You'll Do
* Review and evaluate AI-generated oncology content for clinical accuracy, scientific validity, and regulatory alignment
* Apply your expertise in trial design — including protocol development, patient enrollment frameworks, and compliance standards — to assess and improve AI outputs
* Analyze AI-generated interpretations of cancer trial data, including efficacy endpoints, safety profiles, and biomarker results
* Evaluate whether AI-produced regulatory and scientific content meets the standards required for FDA/EMA submissions and clinical decision‑making
* Provide structured, expert feedback that directly shapes how frontier AI models understand and reason about oncology
* Work independently and asynchronously — fully on your own schedule
Who You Are
* Experienced in designing and managing oncology clinical trials, from protocol development through data readout
* Strong background in analyzing oncology clinical data — endpoints, safety profiles, and biomarkers
* Familiar with regulatory submission standards for agencies such as the FDA or EMA
* Detail‑oriented and methodical — you hold clinical outputs to a high standard
* Comfortable evaluating complex scientific content and articulating clear, reasoned feedback
* No prior AI experience required — your clinical expertise is what matters
Nice to Have
* Prior experience with data annotation, data quality, or evaluation workflows
* Background in translational oncology or biomarker research
* Experience contributing to regulatory submissions or clinical publications
* Familiarity with AI tools or content evaluation platforms as an end user
Why Join Us
* Work directly on frontier AI systems being built to transform cancer research
* Influence how AI models understand real oncology data — your expertise leaves a lasting mark
* Fully remote and flexible — work when and where it suits you
* Freelance autonomy with the structure of meaningful, expert‑level work
* Collaborate with a global network of specialists across medicine and science
* Potential for ongoing work and contract extension as new projects launch
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