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 regulators worldwide? We're looking for experienced Oncology Clinical Researchers to bring real-world clinical rigor into cutting-edge AI development. You'll work alongside leading AI research teams to ensure that oncology data, trial insights, and regulatory knowledge are accurately reflected in frontier AI systems.

This is a fully remote, flexible contract role. No AI background needed — 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 Design and evaluate oncology clinical trial protocols, including patient enrollment strategies and regulatory compliance standards

Analyze cancer trial data — safety profiles, efficacy endpoints, and biomarker results — to assess treatment performance

Translate trial outcomes into clear regulatory and scientific narratives aligned with FDA, EMA, and international standards

Review and critique AI-generated clinical insights for scientific accuracy, clinical relevance, and regulatory alignment

Help shape how AI models reason about real oncology evidence, trial design, and clinical decision-making





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

Solid background in analyzing oncology endpoints, safety data, and biomarker results

Familiar with regulatory submission standards for agencies such as the FDA or EMA

Detail-oriented and rigorous — you hold AI-generated content to the same standards as a peer-reviewed submission

Comfortable working independently on structured, task-based assignments

No prior AI or data annotation experience required Nice to Have Experience with data annotation, data quality review, or evaluation systems

Background in translational oncology, precision medicine, or biomarker research

Familiarity with clinical data management systems or electronic data capture platforms

Prior involvement in regulatory submissions or scientific publications Why Join Us Work directly on frontier AI systems transforming how the world understands cancer research

Fully remote and flexible — work when and where it suits you

Freelance autonomy with the structure of meaningful, expert-level work

Influence how AI models interpret and apply real oncology science at a global scale

Collaborate with world-leading AI research labs on high-impact projects

Potential for ongoing work and contract extension as new projects launch

📌 Oncology Clinical Researcher (Montreal)
🏢 Alignerr
📍 Montreal