Alignerr

Hospital Health Data Governance Lead

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Hospital Health Data Governance Lead for a flexible, fully remote contract position, requiring 10–40 hours/week. Key skills include healthcare data governance, compliance frameworks, and data quality evaluation. No AI experience needed; familiarity with HIPAA preferred. Pay rate is hourly.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
640
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🗓️ - Date
April 18, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Raleigh, NC
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🧠 - Skills detailed
#Data Management #Data Quality #AI (Artificial Intelligence) #ML (Machine Learning) #Data Governance #CMS (Content Management System) #Data Warehouse #Compliance #Quality Assurance
Role description
Hospital Health Data Governance Lead (AI Training) About The Role What if your expertise in healthcare data governance could directly shape how AI understands and works with clinical information — influencing patient care, regulatory compliance, and health outcomes at scale? We're looking for experienced Hospital Health Data Governance Leads to help evaluate, refine, and improve AI systems trained on healthcare data. Your deep knowledge of clinical data operations, compliance frameworks, and cross-functional collaboration will ensure that AI models reflect the rigor, accuracy, and trustworthiness that healthcare demands. This is a fully remote, flexible contract role built for seasoned healthcare data professionals. No prior AI background required — just a strong command of hospital data governance and a sharp eye for quality. • Organization: Alignerr • Type: Hourly Contract • Location: Remote • Commitment: 10–40 hours/week What You'll Do • Evaluate AI-generated healthcare data outputs for accuracy, consistency, compliance, and clinical appropriateness • Apply your expertise in governance frameworks to assess whether AI models reflect real-world hospital data standards • Identify gaps, errors, and risks in how AI handles sensitive health information — from EHR data to operational reporting • Provide structured, expert feedback on data quality, privacy considerations, and regulatory alignment • Draw on your experience working across clinical, IT, and compliance teams to assess cross-functional data workflows • Complete task-based assignments independently and asynchronously — fully on your own schedule Who You Are • Experienced in healthcare data governance, clinical data management, or health information operations • Strong working knowledge of healthcare privacy and compliance frameworks, including HIPAA • Skilled at evaluating data quality and identifying inaccuracies, inconsistencies, or compliance risks • Comfortable navigating the intersection of clinical, technical, and administrative data environments • Detail-oriented and methodical — you bring rigor and precision to every evaluation • No prior AI or machine learning experience required Nice to Have • Experience with data annotation, data quality assurance, or evaluation systems • Familiarity with EHR platforms, clinical data warehouses, or health analytics tools • Background in healthcare compliance, health information management (HIM), or clinical informatics • Understanding of regulatory reporting frameworks such as CMS, Joint Commission, or state health data requirements Why Join Us • Work at the cutting edge of AI development alongside world-leading research labs • Fully remote and flexible — work when and where it suits you • Freelance autonomy with the structure of meaningful, expert-level work • Apply your healthcare expertise to a domain that's shaping the future of clinical AI • Contribute to work that has real implications for patient safety, data trust, and health system integrity • Potential for ongoing work and contract extension as new projects launch