About the Role
What if your deep expertise in cancer clinical trials could directly shape how AI reasons about oncology — influencing systems that may one day support life-saving treatment decisions for patients worldwide?
We're looking for Oncology Clinical Researchers to bring real-world clinical rigor into the AI training pipeline. You'll review, evaluate, and improve AI-generated oncology content — ensuring that the models being built today reflect the scientific, regulatory, and clinical standards that matter most in cancer medicine.
This is a fully remote, flexible contract role. No AI background needed — just serious oncology expertise and a sharp eye for clinical 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, scientific validity, and regulatory alignment
- Apply your expertise in clinical trial design — protocol development, patient enrollment, endpoints, and safety monitoring — to assess how well AI systems understand real-world trial methodology
- Analyze AI outputs related to cancer trial data, including efficacy results, safety profiles, and biomarker findings
- Evaluate AI-generated regulatory and scientific content against FDA/EMA submission standards
- Provide structured, expert feedback that directly shapes how AI models 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, biomarkers, and statistical outputs
- Solid familiarity with regulatory standards for agencies such as the FDA or EMA
- Detail-oriented and methodical — you catch what others miss
- Able to translate complex clinical knowledge into clear, structured evaluations
- No prior AI or data annotation experience required
Nice to Have
- Experience with data annotation, data quality assurance, or AI evaluation workflows
- Background in oncology subspecialties such as immuno-oncology, hematologic malignancies, or solid tumors
- Familiarity with clinical decision-making tools or real-world evidence frameworks
- Experience contributing to FDA/EMA submissions or peer-reviewed oncology publications
Why Join Us
- Work directly on frontier AI systems being built to transform cancer research and clinical medicine
- Influence how AI models understand and reason about real oncology data — at the cutting edge of the field
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy: set your own pace, choose your hours, collaborate globally
- Meaningful work with real-world impact on how AI approaches one of medicine's hardest problems
- Potential for ongoing work and contract extension as new projects launch