Oncology Clinical Researcher (AI Training)

About The Role
What if your expertise in cancer clinical trials could directly shape how AI understands and reasons about oncology — influencing the tools that may one day transform how cancer is diagnosed and treated? We're looking for Oncology Clinical Researchers to bring deep, real-world clinical trial knowledge into cutting-edge AI development. You'll work alongside leading AI research teams to ensure that the oncology data, insights, and reasoning powering next-generation AI systems are scientifically rigorous, clinically accurate, and regulatory-compliant. 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
• Review and evaluate AI-generated oncology content for clinical accuracy, scientific validity, and regulatory alignment
• Apply your expertise in trial design — protocols, patient enrollment, endpoints, and compliance — to assess and improve AI outputs
• Analyze how AI handles cancer trial data, including safety profiles, efficacy results, and biomarker findings
• Evaluate AI-generated regulatory and scientific content against FDA/EMA submission standards
• Provide structured,



expert feedback that directly shapes how AI models reason about real-world 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 and methodical, with high standards for scientific accuracy
• Able to clearly articulate complex clinical reasoning in written evaluations
• No prior AI or tech experience required Nice to Have
• Prior experience with data annotation, data quality review, or AI evaluation workflows
• Background in translational oncology, biomarker research, or regulatory affairs
• Experience contributing to peer-reviewed publications or clinical decision-making frameworks Why Join Us
• Work directly on frontier AI systems with the potential to transform cancer research and care
• Influence how AI models understand, interpret, and reason about real oncology data
• Fully remote and adaptable — work when and where it suits you
• Freelance autonomy with the structure of meaningful, high-impact work
• Collaborate with world-leading AI research teams and labs
• Potential for ongoing work and contract extension as new projects launch

📌 Oncology Clinical Researcher (Toronto)
🏢 Alignerr
📍 Toronto