Human Data Manager (Finance)
micro1 · NAMER
- Hybrid
- Full-time
- $120,000 / year
- NAMER
Job highlights
- Manage human data workflows and KPIs remotely.
- Analyze data for insights and operational efficiency.
- Collaborate with teams to drive improvements.
- Requires MD or medical background.
- Focus on data-driven decision-making.
About the role
About Us:
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.Job Summary:
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:
- Human Data Management
- Medical Background
- Process Optimization
- KPI Development
- Data Analysis
- Operational Efficiency
- Cross-functional Collaboration
- Data Quality Control
- AI in Healthcare
- Remote Work
Skills & topics
- Human Data Manager
- Data Management
- Process Optimization
- KPI Development
- Medical Background
- AI
- LLM
- Remote
- Operations Management
- Healthcare Data
How to get hired
- Tailor your resume: Highlight your MD degree, data management, and process optimization skills.
- Craft a compelling cover letter: Emphasize your interest in AI and operational efficiency.
- Showcase analytical skills: Provide examples of data analysis and KPI development in your application.
- Prepare for remote work questions: Demonstrate your ability to collaborate effectively online.
- Research micro1's mission: Understand their role in AI and human intelligence.
Technical preparation
Familiarize yourself with data analysis tools.,Understand KPI development methodologies.,Review AI healthcare applications.,Practice data quality control methods.
Behavioral questions
Describe a complex data analysis project.,How do you ensure data integrity?,How do you collaborate remotely?,How do you translate data into strategy?
Frequently asked questions
- What is the primary focus of the Human Data Manager role at micro1?
- The Human Data Manager role at micro1 focuses on managing critical human data workflows, defining Key Performance Indicators (KPIs), and driving operational efficiencies through data insights, leveraging a medical background within an AI context.
- Is an MD degree strictly required for the Human Data Manager position?
- While an MD degree is highly preferred, micro1 also welcomes candidates with a relevant medical background, including recent graduates, early-career medical professionals, and experienced doctors. The key is the ability to apply clinical knowledge to operational and data-driven challenges.
- What kind of data analysis is expected from a Human Data Manager?
- The Human Data Manager is expected to analyze large and complex datasets to identify trends, generate actionable insights, and support data-driven decisions. This includes developing reporting frameworks and overseeing data quality controls.
- How does micro1 support remote work for the Human Data Manager role?
- The Human Data Manager role is fully remote, requiring comfort and proficiency in working independently, collaborating with cross-functional teams online, and managing workflows efficiently in a virtual environment. micro1 seeks candidates who can thrive in this setting.
- What are the preferred qualifications for the Human Data Manager role?
- Preferred qualifications include experience in Operations Management, particularly in healthcare or data-driven environments, and familiarity with AI applications in healthcare and data analysis tools for performance measurement.
- How can my medical background be relevant for this Human Data Manager role?
- Your medical background is crucial for bridging the gap between clinical understanding and operational decision-making. It allows you to ensure the accuracy, integrity, and efficiency of human data workflows, especially as they relate to AI model training and evaluation.
- What does micro1 do in the AI space?
- micro1 builds AI platforms that use human intelligence to train frontier Large Language Models (LLMs). They provide rigorous vetting and data training services for AI labs, focusing on safety, alignment, and performance of AI models.