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