Human Data Manager
About the role
In this role, you'll apply your expertise to help train next generation AI systems. Your work will shape how models learn, reason, and perform through high quality, real world input. No prior experience in AI is required — your domain knowledge is what matters.
What you'll do
- 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.
Requirements
- 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: Background in engineering or technical fields with operational focus or human data projects.
- Preferred: Experience with data visualization tools (such as Excel, Tableau, Power BI) or programming languages (such as Python, SQL).
- Preferred: Internship or project based experience in data management, AI/ML, or process optimization.
About micro1
micro1 is a data lab that helps AI labs and large companies train AI models and agents. It finds and checks skilled people from many fields, like law, medicine, finance and coding, to produce the training data that makes AI work better.
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