Remote Clinical BI Lead AI Training & Insights

Clinical Business Intelligence Manager (AI Training) About The Role

What if your expertise in clinical analytics could directly shape how AI understands and interprets healthcare data — influencing systems that will support real‑world medical decisions at scale? We're looking for an experienced Clinical Business Intelligence Manager to lead analytics work that sits at the intersection of healthcare and cutting‑edge AI. You'll guide BI teams in transforming complex clinical and operational data into trusted, actionable insights — and your domain knowledge will help ensure the AI models we train actually reflect how healthcare works in practice.

This is a fully remote, flexible contract role. If you have deep experience in clinical analytics and a passion for making data meaningful, this is your opportunity to do that work at the frontier of AI.

• Organization:
  Alignerr
• Type:
  Hourly Contract
• Location:
  
  Remote
• Commitment: 10–40 hours/week

• Lead and mentor a business intelligence team in building dashboards, reports, and analytics that support clinical and operational decision‑making.
• Maintain and optimize BI infrastructure — including data models, SQL queries, and reporting pipelines — ensuring accuracy, reliability, and performance.
• Analyze clinical, operational, and performance datasets to surface meaningful trends and support leadership decisions.
• Translate complex healthcare data into clear, trusted insights that connect directly to patient outcomes and organizational efficiency.
• Apply your healthcare domain expertise to AI training projects, helping ensure data outputs reflect real‑world clinical accuracy.

• Experienced in healthcare or clinical analytics, business intelligence, or data management within regulated environments.
• Proven ability to design, build, and manage BI systems — including dashboards, reporting pipelines, and data models.
• Comfortable working with clinical, operational, and administrative datasets at scale.
• A clear communicator who can translate technical findings for non‑technical stakeholders.
• Self‑directed and reliable when working independently in a remote, asynchronous environment.

• Prior experience with data annotation, data quality evaluation, or AI training workflows.
• Familiarity with EHR systems, clinical coding, or healthcare interoperability standards.
• Background in population health analytics, quality metrics, or value‑based care reporting.
• Experience working with LLMs or AI research teams in a data or evaluation capacity.

• Work on cutting‑edge AI projects alongside leading research labs and AI teams.
• Fully remote and flexible — structure your work around your schedule.
• Freelance autonomy with the depth and meaning of high‑stakes, real‑world healthcare data work.
• Gain rare exposure to how advanced AI models are trained on complex clinical domains.
• Potential for ongoing work and contract extension as new projects launch.