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Job description
Oncology Clinical Researcher (AI Training)
About the Role
What if your deep knowledge of cancer clinical trials could directly shape how AI understands and reasons about oncology - influencing research tools used by scientists and clinicians worldwide?
We're looking for experienced Oncology Clinical Researchers to bring real-world expertise into AI development workflows. You'll review, evaluate, and improve AI-generated oncology content - ensuring that the models powering tomorrow's cancer research are grounded in rigorous clinical science, regulatory standards, and patient-centered evidence.
This is a fully remote, flexible contract role. No AI background required - just deep oncology expertise and a sharp eye for clinical 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, regulatory alignment, and scientific rigor
Apply your expertise in trial design - protocols, patient enrollment, endpoints, and ethics - to assess how well AI captures real-world standards
Analyze AI outputs related to cancer trial data, including safety profiles, efficacy results, and biomarker interpretation
Evaluate AI-generated regulatory and scientific content against FDA, EMA, and ICH standards
Flag errors, gaps, or misleading outputs and provide structured, expert feedback
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 - endpoints, safety profiles, biomarkers, and statistical outputs
Familiar with regulatory submission standards for agencies such as the FDA or EMA
Detail-oriented with a systematic approach to evaluating complex scientific content
Comfortable working independently and delivering high-quality written feedback
No prior AI or tech experience required
Nice to Have Experience with data annotation, data quality review, or evaluation systems
Background in translational oncology, biomarker research, or precision medicine
Familiarity with clinical trial phases across solid tumors or hematologic malignancies
Prior involvement in regulatory submissions, publications, or clinical guideline development
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, high-stakes scientific work
Shape how AI models understand real oncology data - a direct, tangible contribution to the field
Collaborate with leading AI research teams and labs on cutting-edge projects
Potential for ongoing work and contract extension as new projects launch
Worksite address
milwaukee, WI, 53244, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.