About the Role
What if your deep expertise in cancer clinical trials could directly shape how AI understands and reasons about oncology — influencing systems that may one day transform how cancer is diagnosed and treated?
We're looking for Oncology Clinical Researchers to bring real-world clinical rigor into cutting-edge AI development. You'll evaluate and improve AI-generated oncology content, ensuring it meets the scientific, regulatory, and clinical standards that matter most in cancer research.
This is a fully remote, flexible contract role. No AI background needed — just deep expertise in oncology clinical trials and a sharp eye for scientific accuracy.
- 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, regulatory alignment, and scientific soundness
- Apply your experience in trial design — including protocol development, patient enrollment standards, and compliance — to assess AI outputs against real-world standards
- Analyze AI-generated interpretations of cancer trial data, including safety profiles, efficacy endpoints, and biomarker results
- Evaluate AI-produced regulatory and scientific content against FDA/EMA submission standards and current clinical practice
- Provide structured, expert feedback that directly improves how AI models reason about oncology data
- 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, biomarkers, and statistical outcomes
- Familiar with regulatory submission standards for agencies such as the FDA or EMA
- Detail-oriented and methodical, with high standards for scientific accuracy
- Able to evaluate complex clinical content and communicate feedback clearly
- No prior AI or tech experience required
Nice to Have
- Experience with data annotation, data quality review, or AI evaluation workflows
- Background in translational oncology or biomarker-driven research
- Familiarity with clinical decision support tools or evidence-based medicine frameworks
- Experience contributing to regulatory submissions or scientific publications
Why Join Us
- Work directly on frontier AI systems being developed alongside the world's leading research labs
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, expert-level work
- Influence how AI models understand, interpret, and reason about real oncology data
- Contribute to work that could genuinely shape the future of cancer research and patient outcomes
- Potential for ongoing work and contract extension as new projects launch