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Human Data Manager
Micro1
HybridHybrid
Original Job Summary
About micro1
micro1 is the AI platform for human intelligence. We rigorously vet PhDs and scale human data training for frontier LLMs. Our agent, Zara, autonomously sources and evaluates researchers and data trainers to support post-training, RLHF, evaluations, and red-teaming for top AI labs.
About the Human Data Manager Role
This full-time remote position is ideal for MD graduates and early-career medical professionals wishing to leverage clinical knowledge in a data-driven and operational setting.
Key Responsibilities
- Develop and optimize human data workflows with accuracy and efficiency.
- Establish and monitor KPIs for operational health and process improvements.
- Analyze complex datasets to generate actionable insights.
- Collaborate with cross-functional teams including clinical experts and leadership.
- Create data reporting frameworks to enhance clinical and operational processes.
- Maintain data quality controls and ensure compliance.
- Identify process gaps and recommend operational improvements.
- Mentor team members on data-driven best practices.
Required Skills and Qualifications
- MD degree or relevant medical background.
- Interest or experience in data management and process optimization.
- Ability to analyze complex datasets and translate insights.
- Strong organizational and operational skills.
- Excellent communication for clinical and non-clinical audiences.
- Adaptable to remote, cross-functional, and fast-paced environments.
Preferred Qualifications
- Experience in operations management in healthcare or research.
- Exposure to AI applications in healthcare.
- Familiarity with data analysis tools for KPI tracking.
Key skills/competency
Data Management, KPI, Analysis, Operations, Healthcare, Clinical, Workflow, Reporting, Compliance, Mentorship
How to Get Hired at Micro1
🎯 Tips for Getting Hired
- Research micro1's culture: Study their mission and recent achievements.
- Customize your resume: Highlight data and clinical expertise.
- Highlight relevant KPIs: Showcase measurable operational results.
- Prepare for technical discussions: Know data workflows and analytics tools.
📝 Interview Preparation Advice
Technical Preparation
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Review data workflow systems.
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Practice data analysis techniques.
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Study KPI development strategies.
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Familiarize with data reporting tools.
Behavioral Questions
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Describe teamwork in remote settings.
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Explain experience managing complex data.
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Discuss communication between clinical and non-clinical teams.
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Share problem-solving examples under pressure.