Project Overview We are sourcing independent Search Engine Evaluation Specialists to provide their expertise for an AI benchmark evaluation project.
Oncology Clinical Researcher
Remote (Global)
$40 – $80/hr
May 22, 2026
Job description
Oncology Clinical Researcher (AI Training)
About the Role
What if your deep knowledge of cancer clinical trials could directly shape how AI reasons about one of medicine's most complex and high-stakes fields? We're looking for an Oncology Clinical Researcher to bring real-world expertise into the AI development process — ensuring that the models transforming cancer research are grounded in rigorous clinical science.
This is a fully remote, flexible contract role. No prior AI experience needed — just a strong command of oncology trial design, data analysis, and regulatory standards.
- 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, study endpoints, and regulatory compliance frameworks
- Analyze cancer trial data — covering safety profiles, efficacy results, and biomarker findings — to assess treatment performance and clinical relevance
- Translate complex trial outcomes into clear, structured outputs aligned with FDA, EMA, and other regulatory submission standards
- Review and evaluate AI-generated oncology content for scientific accuracy, clinical validity, and regulatory alignment
- Identify gaps, errors, and inconsistencies in how AI models interpret and represent oncology research
Who You Are
- Experienced in designing and managing oncology clinical trials from protocol development through data readout
- Strong analytical background in oncology 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 a commitment to scientific rigor
- Able to work independently and deliver consistent, high-quality evaluations
Nice to Have
- Prior experience with data annotation, data quality assurance, or AI evaluation workflows
- Background in translational oncology or clinical pharmacology
- Experience contributing to peer-reviewed publications or regulatory dossiers
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 — your expertise shapes the science
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, task-based work
- Collaborate with leading AI research labs and teams at the cutting edge of medical AI
- Potential for ongoing work and contract extension as new projects launch
Apply now
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