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 research that could one day impact millions of patients? We're looking for experienced Oncology Clinical Researchers to bring real-world clinical rigor into cutting-edge AI development. You'll evaluate, guide, and improve how advanced AI systems handle oncology trial data, regulatory standards, and clinical decision-making — ensuring the science is right.
This is a fully remote, flexible contract role built for oncology professionals who want to contribute to something genuinely frontier — 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 expertise in clinical trial design — including protocol development, patient enrollment, and compliance standards — to assess AI outputs
Analyze AI-generated interpretations of cancer trial data, including safety profiles, efficacy endpoints, and biomarker results
Evaluate the quality and accuracy of AI-produced regulatory and scientific reporting against FDA/EMA submission standards
Provide structured, expert feedback that directly shapes how AI models understand real-world 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 analytical background in oncology clinical data — endpoints, safety profiles, and biomarkers
Familiar with regulatory submission standards for agencies such as the FDA or EMA
Detail-oriented and capable of translating deep clinical knowledge into transparent, structured evaluation
Comfortable working independently without close supervision Nice to Have Prior experience with data annotation, data quality assurance, or AI evaluation workflows
Background in translational oncology or biomarker research
Experience contributing to peer-reviewed publications or regulatory dossiers
Familiarity with AI tools or clinical informatics platforms Why Join Us Work directly on frontier AI systems being built alongside the world's leading AI research labs
Shape how AI models reason about real oncology science — your expertise has direct, tangible impact
Fully remote and flexible — work when and where it suits you
Freelance autonomy with the intellectual depth of meaningful, high-stakes scientific work
Potential for ongoing work and contract extension as new projects launch
Collaborate with a global network of domain experts pushing the boundaries of AI in medicine