EMR/EHR Implementation Specialist

Alignerr Corp.; India; Remote; INR 827,000 - 1,378,000; Part time

Benefits offered by this job

Autonomy

Global collaboration

Variety of projects

Job summary

Alignerr is seeking an EMR/EHR Implementation Specialist (AI Training) to review and improve AI understanding of clinical systems. The role emphasizes hands-on experience with Epic or Cerner and deep knowledge of healthcare workflows. Fully remote freelance engagement with flexible hours.

You will evaluate AI-generated content on EMR/EHR configurations and provide structured feedback to help AI interpret healthcare IT scenarios. Independent work and remote collaboration are essential.

Qualifications

• Experienced with EMR/EHR implementation, configuration, or optimization — particularly Epic or Cerner.
• Strong understanding of clinical and administrative healthcare workflows.
• Detail-oriented with the ability to deliver clear, structured written feedback.
• Self-motivated and comfortable working independently in a remote setting.

Responsibilities

• Review and evaluate AI-generated content related to EMR/EHR systems, clinical workflows, and healthcare IT configurations
• Apply your hands-on knowledge of Epic, Cerner, or similar platforms to assess accuracy and real-world validity
• Identify gaps, errors, or unrealistic outputs in AI responses related to system implementation and optimization
• Provide structured, expert feedback that helps AI better understand complex healthcare technology scenarios
• Work independently and asynchronously on your own schedule

Skills

EMR/EHR implementation

Clinical workflows

Healthcare IT knowledge

Attention to detail

Tools

Epic

Cerner

Job description

EMR/EHR Implementation Specialist (AI Training)

About The Role

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 EMR/EHR Implementation Specialists to help us develop AI that truly understands clinical systems, healthcare workflows, and digital health infrastructure.

Your real-world expertise with platforms like Epic and Cerner is exactly what's needed to evaluate, validate, and improve how AI reasons about healthcare technology. This is a unique opportunity to apply your domain knowledge in a new and impactful way — without leaving the comfort of your home.

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

What You'll Do

• Review and evaluate AI-generated content related to EMR/EHR systems, clinical workflows, and healthcare IT configurations
• Apply your hands-on knowledge of Epic, Cerner, or similar platforms to assess accuracy and real-world validity
• Identify gaps, errors, or unrealistic outputs in AI responses related to system implementation and optimization
• Provide structured, expert feedback that helps AI better understand complex healthcare technology scenarios
• Work independently and asynchronously on your own schedule

Who You Are

• Experienced with EMR/EHR implementation, configuration, or optimization — particularly Epic or Cerner
• Strong understanding of clinical and administrative healthcare workflows
• Able to identify when AI-generated healthcare IT content is accurate, incomplete, or misleading
• Detail-oriented with the ability to deliver clear, structured written feedback
• Self-motivated and comfortable working independently in a remote setting

Nice to Have

• Experience with data annotation, data quality, or AI evaluation workflows
• Background in health informatics, clinical operations, or healthcare IT consulting
• Familiarity with interoperability standards such as HL7 or FHIR

Why Join Us

• Work on cutting-edge AI projects alongside top research labs and teams
• Fully remote and flexible — work on your own schedule, as much or as little as you want
• Freelance perks: autonomy, variety, and global collaboration
• Contribute to meaningful work that shapes how AI understands and supports the healthcare system
• Potential for ongoing work and contract extension