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 in cancer research and care? We're looking for experienced Oncology Clinical Researchers to bring real-world clinical trial knowledge into cutting-edge AI development workflows. You'll evaluate, validate, and improve AI-generated oncology insights — ensuring that the models shaping the future of cancer research are grounded in rigorous science, clinical accuracy, and regulatory reality. This is a fully remote, flexible contract role built for experienced oncology professionals who want to contribute to something genuinely transformative — on their own schedule.
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 rigor, and regulatory alignment
Apply your trial design expertise to assess AI outputs related to study protocols, patient enrollment, and compliance standards
Analyze and validate AI-generated interpretations of cancer trial data — including safety profiles, efficacy endpoints, and biomarker results
Assess the quality of AI-generated regulatory and scientific content relevant to FDA/EMA submission standards
Provide structured, expert feedback that directly improves how AI models understand and 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, including endpoints, safety profiles, and biomarkers
Familiar with regulatory submission standards for agencies such as the FDA or EMA
Detail-oriented and rigorous — you hold clinical and scientific content to a high standard
Able to communicate complex oncology concepts clearly in written form
Comfortable working independently on structured, task-based assignments
Nice to Have
Prior experience with data annotation, data quality assessment, or AI evaluation workflows
Background in oncology research publications or clinical decision support
Experience across multiple cancer types or trial phases
Familiarity with AI tools or clinical informatics platforms
Why Join Us
Work directly on frontier AI systems with the potential to transform cancer research
Fully remote and flexible — work when and where it suits you
Freelance autonomy with the structure of meaningful, high-impact work
Influence how AI models understand real-world oncology data at the frontier of the field
Collaborate with world-leading AI research teams and labs
Potential for ongoing work and contract extension as new projects launch