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 the next generation of tools used by researchers, clinicians, and regulatory teams worldwide
We're looking for experienced Oncology Clinical Researchers to bring real-world scientific rigor into cutting-edge AI development. You'll work with leading AI research teams to ensure that the oncology knowledge embedded in frontier AI systems is clinically accurate, regulatory-sound, and scientifically credible.
This is a fully remote, flexible contract role. No AI background required — just deep expertise in oncology clinical research and a sharp eye for scientific quality.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Design and evaluate oncology clinical trial frameworks — including study protocols, patient enrollment criteria, and regulatory compliance standards
- Analyze cancer trial data across safety, efficacy, and biomarker endpoints to assess how accurately AI models interpret treatment outcomes
- Review and validate AI-generated clinical insights for scientific accuracy, regulatory alignment, and real-world clinical relevance
- Translate trial outcomes and AI evaluations into structured reports reflecting FDA/EMA submission standards and clinical decision-making norms
- Provide expert feedback that directly shapes how AI systems learn to 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 — including primary and secondary endpoints, safety profiles, and biomarker results
- Familiar with regulatory submission standards for agencies such as the FDA or EMA
- Detail-oriented and systematic — you hold AI-generated content to the same rigorous standards you'd apply to real clinical work
- Comfortable working independently and delivering structured, high-quality written evaluations
- No prior AI or data annotation experience required
Nice to Have
- Experience with data annotation, data quality review, or AI evaluation workflows
- Background in oncology drug development, translational research, or clinical operations
- Familiarity with biomarker-driven trial design or precision oncology frameworks
- Prior work on regulatory submissions, clinical study reports, or publications
Why Join Us
- Work directly on frontier AI systems that are transforming how cancer research is understood and applied
- Influence how AI models reason about real oncology data — at the cutting edge of medicine and technology
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, expert-level work
- Collaborate with world-leading AI research teams and labs
- Potential for ongoing work and contract extension as new projects launch
