Clinical Systems Analyst
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Salary
≈ $21k – $59k per year (Estimated)
Location
Remote (India)
Employment
Full-Time
First seen by Alion on Sep 24, 2026.
Overview
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Alignerr is an American expert marketplace operated by the data platform company Labelbox that pays specialists to train and evaluate frontier artificial intelligence models. Contributors work remotely on tasks such as writing reference answers, ranking model outputs, reviewing code, checking mathematical proofs and probing systems for failure, across dozens of languages and professional domains. The platform screens applicants for genuine subject expertise before assigning work, and supplies the resulting reinforcement learning and evaluation data to laboratories building large language models.
Clinical Systems Analyst (AI Training)
About The Role
We're looking for experienced Clinical Systems Analysts to bring their healthcare IT knowledge to cutting-edge AI development. At Alignerr, we partner with the world's leading AI research teams to build smarter, more accurate AI models — and your clinical systems expertise is exactly what we need.
This is a unique opportunity to step beyond traditional healthcare IT support and directly influence how AI understands clinical workflows, medical terminology, and hospital operations.
About The Role
We're looking for experienced Clinical Systems Analysts to bring their healthcare IT knowledge to cutting-edge AI development. At Alignerr, we partner with the world's leading AI research teams to build smarter, more accurate AI models — and your clinical systems expertise is exactly what we need.
This is a unique opportunity to step beyond traditional healthcare IT support and directly influence how AI understands clinical workflows, medical terminology, and hospital operations.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
- Evaluate and provide expert feedback on AI-generated content related to clinical systems, healthcare IT workflows, and hospital operations
- Apply your troubleshooting and system optimization knowledge to assess whether AI outputs reflect real-world clinical environments accurately
- Review and critique AI responses involving EHR systems, clinical applications, and healthcare infrastructure
- Identify gaps, inaccuracies, or unrealistic scenarios in AI-generated clinical IT content
- Translate your hands-on clinical systems experience into structured, actionable feedback that improves AI model quality
- Work independently and asynchronously on your own schedule
- Experienced in supporting, administering, or optimizing healthcare IT systems such as EHRs, clinical applications, or hospital infrastructure
- Skilled in technical troubleshooting, system testing, and performance optimization within clinical environments
- Comfortable bridging the gap between clinical workflows and technical systems
- Detail-oriented with strong written communication skills
- Self-motivated and able to deliver quality work independently
- Prior experience with data annotation, data quality assessment, or AI evaluation workflows
- Familiarity with HL7, FHIR, or interoperability standards
- Background working across multiple healthcare settings or system types
- Work on meaningful AI projects alongside top research labs and teams
- Fully remote and flexible — work on your own schedule, from anywhere
- Freelance perks: autonomy, variety, and global collaboration
- Contribute to AI systems that could shape the future of healthcare technology
- Potential for ongoing work and contract extension
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