About the Role
What if your deep expertise in cancer clinical trials could directly influence how AI understands and reasons about oncology — shaping tools that may one day transform how patients are treated?
We're looking for Oncology Clinical Researchers to bring real-world clinical rigor into cutting-edge AI development. You'll review, evaluate, and inform AI-generated oncology content — ensuring that the models being built to support cancer research actually reflect the complexity, precision, and regulatory standards the field demands.
This is a fully remote, flexible contract role designed for experienced oncology professionals. No AI background required — just deep clinical knowledge 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, scientific validity, and regulatory alignment
- Apply your expertise in clinical trial design — including protocol development, patient enrollment, and regulatory compliance — to assess AI outputs against real-world standards
- Analyze cancer trial data representations, including safety profiles, efficacy endpoints, and biomarker results, to identify gaps or errors in AI reasoning
- Evaluate how well AI systems interpret and communicate trial outcomes relevant to FDA/EMA regulatory submissions, publications, and clinical decision-making
- Provide structured, expert feedback that directly shapes how frontier AI models understand 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 oncology clinical data analysis, including endpoints, safety profiles, and biomarkers
- Familiar with regulatory submission 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 written feedback
- No prior AI or tech experience required
Nice to Have
- Prior experience with data annotation, data quality review, or AI evaluation workflows
- Background in translational oncology or drug development
- Experience contributing to regulatory submissions, clinical study reports, or peer-reviewed publications
- Familiarity with AI tools or clinical decision support systems
Why Join Us
- Work directly on frontier AI systems being built to transform cancer research
- 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 reason about real oncology data — a genuinely rare opportunity
- Collaborate with world-leading AI research teams and labs
- Potential for ongoing work and contract extension as new projects launch