Oncology Clinical Researcher (AI Training) 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 review, evaluate, and inform AI-generated oncology content --- ensuring it meets the scientific, regulatory, and clinical standards that matter in the real world.
This is a fully remote, flexible contract role built for experienced oncology professionals who want to do meaningful work on their own schedule.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10--40 hours/week
What You'll Do
- Evaluate AI-generated clinical insights for oncology accuracy, regulatory alignment, and scientific validity
- Apply your expertise in trial design --- protocols, patient enrollment, compliance, and regulatory standards --- to assess AI outputs
- Review cancer trial data interpretations, including safety profiles, efficacy analyses, and biomarker findings
- Identify gaps or errors in how AI systems represent oncology concepts, clinical methodology, and trial outcomes
- Provide structured, expert-level feedback that directly shapes how frontier AI models reason about cancer research
- Work independently and asynchronously 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 treatment outcomes
- Familiar with regulatory submission standards for agencies such as the FDA or EMA
- Detail-oriented and able to provide precise, well-reasoned written feedback
- Self-motivated and reliable when working independently
Nice to Have
- Prior experience with data annotation, data quality review, or AI evaluation workflows
- Background in translational oncology or biomarker-driven trial design
- Experience contributing to FDA/EMA submissions, clinical publications, or regulatory affairs
- 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 understand real oncology data at a foundational level
- Collaborate with world-leading AI research teams and labs
- Potential for ongoing work and contract extension as new projects launch
