Human Data Manager, New Grad
$35 - $55/hourpay
Required Skills
Project Management
Data Operations
Quality Analyst
Human Data
About micro1
micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.
Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI.
Job Description
Job Title: Human Data Manager, New Grad
Job Type: Full-time
Location: Remote
Job Summary
Join our team as a Human Data Manager and drive operational excellence at the intersection of data, technology, and business process optimization. This is a unique opportunity for ambitious recent graduates with a technical mindset and a hunger for rapid career growth, to make a tangible impact from day one.
Key Responsibilities
- Design, build, and manage robust data workflows for accurate annotation, collection, processing, and analysis.
- Establish and monitor KPIs to optimize operational performance and drive data-driven decision-making.
- Analyze datasets to uncover actionable insights and present recommendations that accelerate efficiency.
- Collaborate cross-functionally to align data strategies with overarching business objectives.
- Develop and maintain comprehensive reporting frameworks tracking key metrics and workflow improvements.
- Continuously refine processes to ensure scalability, maintain data integrity, and uphold quality standards.
- Demonstrate ownership and a proactive, hands-on approach to identifying and solving operational challenges.
Required Skills and Qualifications
- Recent Bachelor’s or Master’s graduate in Computer Science, Data Analytics, Industrial Engineering, Operations Management, Economics, Finance or other related fields.
- Technical aptitude with demonstrated experience in data analysis, annotation, or workflow optimization.
- Familiarity with operational processes and a passion for increasing efficiency.
- Ability to interpret and communicate data-driven insights clearly and persuasively, both in writing and verbally.
- Strong drive to learn, thrive under pressure, and a willingness to work hard in a fast-paced environment.
- Excellent collaboration skills and attention to detail in managing data quality and validation.
Preferred Qualifications
- Background in engineering or technical fields with operational focus or human data projects.
- Experience with data visualization tools (such as Excel, Tableau, Power BI) or programming languages (such as Python, SQL).
- Internship or project-based experience in data management, AI/ML, or process optimization.
Regional Hiring Notes:
This role is being hired in parallel across multiple regions due to coverage needs, compliance requirements, and time-zone alignment. Responsibilities and expectations are identical; employment terms vary by region.