Clinical Systems Analyst

Alignerr Corp.; Toronto; Remote; CAD 55,000 - 90,000; Part time

Benefits offered by this job

Fully remote

Flexible hours

Job summary

Alignerr Corp. is seeking a Clinical Systems Analyst (AI Training) to apply healthcare IT expertise to AI development.

In this remote hourly contract role, you will review AI outputs related to clinical workflows, EHR administration, and hospital IT operations, providing detailed feedback to improve model accuracy and safety. The role emphasizes independent work, strong written communication, and the ability to translate clinical processes into technical guidance.

Qualifications

• Experience supporting, administering, or optimizing healthcare IT systems including EHRs, clinical applications, or hospital infrastructure.
• Ability to translate clinical workflows into technical solutions and troubleshoot system issues.
• Strong written communication with actionable feedback provided to AI models.

Responsibilities

• Evaluate AI-generated content related to clinical systems, healthcare IT workflows, and hospital operations.
• Identify inaccuracies, gaps in clinical reasoning, or unrealistic system configurations in AI outputs.
• Apply troubleshooting to assess how AI handles real-world healthcare IT scenarios.
• Review AI responses covering EHR administration, clinical application support, and hospital infrastructure topics.
• Provide structured, detailed feedback to help AI models better understand healthcare technology.
• Work independently and asynchronously on your own schedule.

Skills

Healthcare IT experience

EHR systems

Technical troubleshooting

Written communication

Tools

HL7

FHIR

Job description

Clinical Systems Analyst (AI Training)

At Alignerr, we partner with the world's leading AI research teams and labs to build and train cutting‑edge AI models. We're looking for experienced Clinical Systems Analysts to bring their healthcare IT expertise to the forefront of AI development.

About The Role

This is a unique opportunity to apply your deep knowledge of clinical workflows, EHR systems, and hospital IT infrastructure to help shape how AI understands and navigates the healthcare domain. Your real‑world expertise will directly influence the quality and accuracy of next‑generation AI models.

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

What You’ll Do

• Evaluate and provide expert feedback on AI‑generated content related to clinical systems, healthcare IT workflows, and hospital operations
• Identify technical inaccuracies, gaps in clinical reasoning, or unrealistic system configurations in AI outputs
• Apply your troubleshooting and system optimization knowledge to assess how well AI handles real‑world healthcare IT scenarios
• Review AI responses covering EHR administration, clinical application support, and hospital infrastructure topics
• Provide structured, detailed feedback that helps AI models better understand healthcare technology
• Work independently and asynchronously on your own schedule

Who You Are

• Experienced in supporting, administering, or optimizing healthcare IT systems — including EHRs, clinical applications, or hospital infrastructure
• Skilled in technical troubleshooting, system testing, and translating clinical workflows into technical solutions
• Able to evaluate technical accuracy and practical applicability of healthcare IT content
• Strong written communicator who can provide clear, actionable feedback
• Self‑motivated and comfortable working independently on task‑based assignments

Nice to Have

• Prior experience with data annotation, data quality, or AI evaluation workflows
• Familiarity with HL7, FHIR, or clinical interoperability standards
• Background working cross‑functionally with clinicians, IT teams, and operations staff

Why Join Us

• Work on cutting‑edge AI projects alongside top research labs and AI teams
• Fully remote and flexible — work when and how much you want
• Freelance perks: autonomy, variety, and global collaboration
• Contribute to meaningful work that improves how AI serves the healthcare industry
• Exposure to advanced large language models and how they're trained
• Potential for ongoing work and contract extension