Remote Oncology AI Training Researcher

Alignerr Corp.

Austin (CO)

Remote

USD 83,000 - 138,000

Full time

36 hours ago
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Job summary

Alignerr Corp. is seeking an Oncology Clinical Researcher to ensure AI-produced oncology content is clinically accurate and compliant with regulatory standards. This fully remote, hourly contract role leverages your deep oncology expertise to guide AI understanding of cancer research.

You will apply trial design skills, assess endpoints and biomarkers, and provide structured feedback to help AI models reason about oncology data. 10–40 hours/week available, flexible scheduling.

Qualifications

  • Experience designing and managing oncology clinical trials from protocol development through data readout.
  • Strong ability to analyze endpoints, safety, and biomarkers.
  • Familiarity with regulatory submission standards (FDA/EMA) is a plus.

Responsibilities

  • Review and evaluate AI-generated oncology content for clinical accuracy, scientific validity, and regulatory alignment
  • Apply your expertise in trial design, protocol development, and patient enrollment standards to assess AI outputs
  • Analyze AI-generated interpretations of cancer trial data — including safety, efficacy, and biomarker results — and flag errors or gaps
  • Evaluate AI reasoning against real-world regulatory submission standards for agencies such as the FDA and EMA
  • Provide structured, detailed feedback that directly shapes how AI models reason about oncology data
  • Work independently and asynchronously — fully on your own schedule

Job description

Alignerr Corp. is seeking an Oncology Clinical Researcher to ensure AI-produced oncology content is clinically accurate and compliant with regulatory standards. This fully remote, hourly contract role leverages your deep oncology expertise to guide AI understanding of cancer research.

You will apply trial design skills, assess endpoints and biomarkers, and provide structured feedback to help AI models reason about oncology data. 10–40 hours/week available, flexible scheduling.

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