Alignerr
Hospital Health Data Governance Lead

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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 hospital data—influencing systems that will support patient care for millions of people?
We're partnering with leading AI research teams to build and train cutting-edge AI models that work with real-world health data. We're looking for experienced health data governance professionals to ensure hospital data used in these systems is accurate, trusted, compliant, and clinically meaningful.
This is a fully remote, flexible contract role. If you've spent your career making sure healthcare data is reliable, secure, and fit for purpose—this is your opportunity to bring that expertise to the frontier of AI.
Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week
Responsibilities
- Evaluate and define governance standards for hospital health records—assessing:
- Accuracy
- Consistency
- Completeness
- Security
- Review and assess AI-generated outputs related to:
- Clinical data workflows
- Governance frameworks
- Compliance policies
- Identify gaps, risks, and inconsistencies in how health data is:
- Structured
- Classified
- Managed within AI training scenarios
- Apply your knowledge of healthcare regulatory frameworks—including HIPAA and other compliance standards—to evaluate data handling practices
- Work cross-functionally to align data policies across:
- Clinical contexts
- IT systems
- Administrative requirements (within project scope)
- Provide structured, detailed expert feedback using evaluation tools and frameworks provided
- Complete task-based assignments independently, flexible with your own schedule
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
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Requirements
Essential
- Experienced in:
- Healthcare data governance
- Clinical data management
- Health information operations
- Strong working knowledge of:
- Healthcare privacy laws (including HIPAA)
- Regulatory frameworks
- Able to navigate the intersection of:
- Clinical domains
- Technical systems
- Compliance policies
- Methodical and detail-oriented—you know when data falls short of standards
- Clear, concise communicator who can articulate:
- Complex governance issues in structured formats
- Self-motivated and reliable when working independently without supervision


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Nice to Have
- Experience in:
- Data annotation
- Data quality evaluation
- AI training workflows
- Background in:
- EHR systems
- Health informatics
- Clinical decision support
- Experience with hospital operations, health IT, or clinical compliance roles
- Familiarity with data governance frameworks:
- DAMA-DMBOK (or equivalent)
Why Join Us?
- Work at the intersection of healthcare expertise and cutting-edge AI development
- Fully remote and remote-friendly — work anytime, anywhere
- Complete freelance autonomy with structured, task-based work
- Apply deep domain knowledge to problems that matter:
- Improving how AI understands health data at scale
- Exposure to large-scale health data systems and frontier model training projects
- Potential for ongoing contract extensions as new projects launch
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