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Oncology Clinical Researcher (AI Training)
About The Role
What if your deep expertise in cancer clinical trials could directly shape how AI reasons about oncology — influencing the tools that researchers, clinicians, and scientists rely on worldwide?
We're looking for Oncology Clinical Researchers to bring real-world clinical rigor into cutting-edge AI development. You'll evaluate, review, and improve AI-generated oncology content — ensuring it meets the scientific, regulatory, and clinical standards that matter most in cancer research.
This is a fully remote, flexible contract role built for experienced oncology professionals. No AI background required — just deep knowledge of cancer clinical trials and a sharp eye for 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 trial design — including protocol development, patient enrollment, and compliance — to assess AI outputs against real-world standards
Analyze AI-generated interpretations of cancer trial data, including efficacy, safety, and biomarker findings
Evaluate the quality of AI-produced regulatory and scientific documentation against 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 with a systematic, thorough approach to evaluating complex scientific content
Able to communicate expert feedback clearly and concisely in written form
No prior AI or tech experience required
Nice to Have
Prior experience with data annotation, data quality assurance, or AI evaluation workflows
Background in translational oncology or biomarker-driven research
Experience contributing to publications, clinical study reports, or regulatory dossiers
Familiarity with AI tools or clinical decision-support platforms as an end user
Why Join Us
Work directly on frontier AI systems transforming the future of cancer research
Fully remote and flexible — work when and where it suits you
Freelance autonomy with the structure of meaningful, expert-driven work
Influence how AI models understand, interpret, and communicate real oncology science
Potential for ongoing work and contract extension as new projects launch
Collaborate with world-leading AI research teams and labs on high-impact projects
Work arrangement
Yes
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