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