Digital Health Strategist

Alignerr Corp.; Austin (CO); Remote; USD 55,000 - 83,000; Part time

Job summary

Alignerr Corp. is seeking a Digital Health Strategist (AI Training) to join our remote team. You will evaluate AI-generated content for telehealth, remote patient monitoring, and wearable data, focusing on clinical workflows and patient care pathways.

You will provide detailed, evidence-based feedback and work independently on task-based assignments in a flexible schedule, supporting ongoing AI training programs with researchers and clinicians.

Qualifications

• Experience with telemedicine or wearable data platforms.
• Strong understanding of healthcare workflows and clinical data.
• Ability to assess AI outputs for evidence-based care.
• Clear, structured written feedback using evaluation frameworks.

Responsibilities

• Evaluate AI-generated content related to digital health strategy and remote monitoring.
• Assess accuracy and clinical relevance of AI outputs in healthcare contexts.
• Provide structured expert feedback on how AI understands workflows and patient care paths.
• Identify gaps, errors, or unrealistic assumptions in AI content.
• Help improve how AI reasons about wearable data and care delivery tech.
• Work independently on task-based assignments.

Skills

Digital health

Healthcare workflows

AI evaluation

Structured feedback

Independent work

Job description

Digital Health Strategist (AI Training)

About The Role

We're partnering with leading AI research teams to build smarter, more accurate healthcare AI — and we need digital health experts to make it happen. As a Digital Health Strategist, you'll apply your real-world experience with telehealth, remote monitoring, wearables, and clinical workflows to evaluate and improve AI systems designed for healthcare settings.

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

What You'll Do

• Evaluate AI-generated content and recommendations related to digital health strategy, telehealth, and remote patient monitoring
• Assess the accuracy, clinical relevance, and practical soundness of AI outputs in healthcare contexts
• Provide structured expert feedback on how well AI systems understand clinical workflows, data integration, and patient care pathways
• Identify gaps, errors, or unrealistic assumptions in AI-generated digital health content
• Help improve how AI models reason about wearable data, mobile health platforms, and care delivery technology
• Work independently and asynchronously on task-based assignments

Who You Are

• Experienced with digital health platforms — including telemedicine, remote patient monitoring, mobile health apps, or wearable data systems
• Strong understanding of how healthcare workflows, clinical data, and technology intersect to support patient care
• Able to critically assess whether AI outputs reflect realistic, evidence-based healthcare strategy
• Comfortable providing detailed written feedback using structured evaluation frameworks
• Collaborative mindset with the ability to communicate clearly across clinical and technical contexts
• Self-motivated and reliable when working independently on a flexible schedule

Nice to Have

• Prior experience with data annotation, data quality review, or AI evaluation workflows
• Background in health informatics, clinical operations, or digital transformation initiatives
• Familiarity with EHR systems, interoperability standards, or value-based care models

Why Join Us

• Work at the cutting edge of healthcare AI with top research labs and innovators
• Fully remote and flexible — design your own schedule around your existing commitments
• Freelance perks: autonomy, variety, and collaboration with a global expert community
• Contribute to work that genuinely improves how AI supports patient care and clinical decision-making
• Potential for ongoing work and contract extension as projects scale