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 tools that may one day transform how cancer is detected, treated, and survived? We're looking for experienced Oncology Clinical Researchers to bring real-world clinical rigor into cutting-edge AI development. You'll work with leading AI research teams to ensure that oncology data used to train and evaluate advanced AI systems reflects genuine regulatory, scientific, and clinical standards.

This is a fully remote, flexible contract role built for experienced oncology professionals who want to do meaningful work on their own schedule.

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 criteria, endpoints, and regulatory compliance frameworks

Analyze cancer trial data spanning safety profiles, efficacy outcomes, and biomarker results to assess treatment performance

Translate trial findings into structured regulatory and scientific outputs aligned with FDA/EMA submission standards

Review and critique AI-generated oncology content for clinical accuracy, scientific validity, and regulatory alignment

Identify gaps, errors, and limitations in how AI models interpret and represent oncology research





Provide expert-level feedback that directly shapes how frontier AI systems reason about cancer data 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 signals, and biomarker analysis

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

Detail-oriented and methodical — you hold AI-generated content to the same standards you'd apply to a regulatory document

Comfortable working independently and asynchronously in a remote environment Nice to Have Prior experience with data annotation, data quality assurance, or AI evaluation workflows

Background in translational oncology or early-phase clinical research

Experience authoring or reviewing clinical study reports, INDs, or NDAs

Familiarity with oncology-specific endpoints such as OS, PFS, ORR, or tumor mutational burden Why Join Us Work directly on frontier AI systems with the potential to transform cancer research and clinical care

Fully remote and adaptable — set your own hours and work from anywhere

Freelance autonomy with the structure of impactful, expertise-driven work

Influence how AI models understand real oncology science — your knowledge shapes the output

Collaborate with world-class AI researchers and clinicians from across the globe

Potential for contract extension as new oncology AI projects launch

📌 Oncology Clinical Researcher (Ciudad de México)
🏢 Alignerr
📍 Ciudad de México