Human Data Manager

About micro1

The AI platform for human intelligence—we build models that rigorously vet PhDs and scale human data training for frontier LLMs. Our agent, Zara, autonomously sources and evaluates researchers and data trainers—powering post-training (RLHF, evals, red-teaming) for top AI labs. We’re trusted by nearly every major AI lab to deliver the people and processes that keep their models safe, aligned, and performant.

We are seeking a detail-oriented and analytical Human Data Manager with a medical background to join our team. This full-time remote role is ideal for recent MD graduates, early-career medical professionals, or experienced doctors who are looking to leverage their clinical knowledge in an operational and data-driven setting.

In this role, you’ll manage critical human data workflows, define KPIs, and drive operational efficiencies through data insights. Your expertise will be pivotal in bridging the gap between clinical understanding and operational decision-making, ensuring processes are optimized and business objectives are met.

Key Responsibilities

• Lead the development, implementation, and optimization of human data workflows, ensuring accuracy, integrity, and efficiency.
• Establish and monitor KPIs to track performance, operational health, and process improvements.
• Analyze large and complex datasets to identify trends, generate insights, and support data-driven decisions.
• Collaborate with cross-functional teams, including operations, clinical experts, and leadership, to align strategies and drive continuous improvement.
• Develop data reporting frameworks that provide actionable insights to enhance both clinical and operational processes.
• Oversee data quality controls, resolving discrepancies and ensuring compliance with established standards.
• Support operational strategy by identifying process gaps, recommending improvements, and helping teams execute effective solutions.
• Mentor and guide team members on data-driven best practices and efficient workflow management.

Required Skills and Qualifications

• MD degree or relevant medical background (recent graduates, early-career professionals, and experienced doctors are all encouraged to apply).
• Demonstrated experience or strong interest in data management, process optimization, and KPI development.
• Ability to analyze complex datasets and translate findings into actionable recommendations.
• Exceptional organizational and operational skills, with a focus on driving efficiencies.
• Excellent communication skills, capable of translating data insights into clear, actionable strategies for both clinical and non-clinical stakeholders.
• Comfortable working in a remote, cross-functional, and fast-paced environment.

Preferred Qualifications

• Operations Management experience, especially in healthcare, medical research, or large-scale data-driven environments.
• Exposure to AI applications in healthcare, such as predictive analytics, diagnostic support, or automation.
• Familiarity with data analysis tools and methodologies for KPI tracking and performance measurement.

Key skills/competency

• Data Management
• Process Optimization
• KPI Development
• Data Analysis
• Clinical Knowledge
• Healthcare Operations
• AI Applications
• Stakeholder Communication
• Workflow Management
• Data Quality