Human Data Manager

micro1; United States; Remote; USD 90,000 - 130,000; Full time

Job summary

micro1 is seeking a Human Data Manager to lead data training workflows for next-generation AI systems. You will design robust data pipelines, manage annotation quality, and drive data-driven decisions across teams.

This remote role values strong communication, cross-functional collaboration, and a hands-on approach to solving operational challenges while ensuring data integrity and scalable processes.

Qualifications

• Experience with data analysis, annotation, or workflow optimization.
• Strong focus on improving operational efficiency.
• Ability to communicate insights clearly in writing and speaking.
• Demonstrated willingness to work in a fast-paced environment.
• Attention to data quality and validation.

Responsibilities

• Design, build, and manage data workflows for annotation, collection, processing, and analysis.
• Establish KPIs and monitor performance to drive data-driven decisions.
• Analyze datasets and present actionable insights to accelerate efficiency.
• Collaborate cross-functionally to align data strategies with business goals.
• Develop reporting frameworks tracking key metrics and improvements.
• Refine processes to ensure scalability and data integrity.
• Own and proactively solve operational challenges.

Skills

Data analysis

Annotation

Workflow optimization

Operational efficiency

Communication

Tools

Excel

Tableau

Power BI

Python

SQL

Job description

Job Title:

Human Data Manager

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

1. Design, build, and manage robust data workflows for accurate annotation, collection, processing, and analysis.
2. Establish and monitor KPIs to optimize operational performance and drive data-driven decision-making.
3. Analyze datasets to uncover actionable insights and present recommendations that accelerate efficiency.
4. Collaborate cross-functionally to align data strategies with overarching business objectives.
5. Develop and maintain comprehensive reporting frameworks tracking key metrics and workflow improvements.
6. Continuously refine processes to ensure scalability, maintain data integrity, and uphold quality standards.
7. Demonstrate ownership and a proactive, hands-on approach to identifying and solving operational challenges.

Required Skills and Qualifications

1. Technical aptitude with demonstrated experience in data analysis, annotation, or workflow optimization.
2. Familiarity with operational processes and a passion for increasing efficiency.
3. Ability to interpret and communicate data-driven insights clearly and persuasively, both in writing and verbally.
4. Strong drive to learn, thrive under pressure, and a willingness to work hard in a fast-paced environment.
5. Excellent collaboration skills and attention to detail in managing data quality and validation.

Preferred Qualifications

1. Background in engineering or technical fields with operational focus or human data projects.
2. Experience with data visualization tools (such as Excel, Tableau, Power BI) or programming languages (such as Python, SQL).
3. 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.