Human Data Manager, New Grad
micro1 · 100% remote · Full-time · Posted
- Pay
- Not listed
- Location
- Worldwide
- Languages
- English
- Hours
- Full-time
- Opening
- 1
- Level
- Entry level
Summary
Design and manage data workflows for AI training, including annotation, collection, processing, and analysis. Monitor KPIs, analyze datasets, and collaborate cross-functionally to optimize operational performance.
What you'll do
- Design, build, and manage data workflows for annotation, collection, processing, and analysis
- Establish and monitor KPIs to optimize operational performance
- Analyze datasets to uncover actionable insights and present recommendations
- Collaborate cross-functionally to align data strategies with business objectives
- Develop and maintain reporting frameworks tracking key metrics and workflow improvements
- Refine processes to ensure scalability, maintain data integrity, and uphold quality standards
- Demonstrate ownership and a proactive, hands-on approach to solving operational challenges
Requirements
- Recent Bachelor's or Master's degree in Computer Science, Data Analytics, Industrial Engineering, Operations Management, Economics, Finance, or 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, both in writing and verbally
- Strong drive to learn, thrive under pressure, and work hard in a fast-paced environment
- Excellent collaboration skills and attention to detail in managing data quality and validation
Skills
- Project Management
- Data Operations
- Quality Analyst
- Human Data
Full description
Job Title: Human Data Manager, New Grad
Job Type: Full-time
Location: Remote
Job Summary: 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.
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.
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