Human Data Manager

Confidential; United States; Remote; USD 70,000 - 110,000; Full time

Job summary

Zekai is seeking a Human Data Manager for a fully remote position. You will help train next‑generation AI systems by delivering high‑quality real‑world data that shapes how models learn, reason, and perform. No prior AI experience is required; your domain knowledge matters.

You will design robust data workflows, establish and monitor KPIs, and analyze data to uncover actionable insights. You’ll collaborate cross‑functionally to align data strategies with business goals, develop reporting

Qualifications

• Experience in data analysis, annotation, or workflow optimization.
• Familiarity with operational processes and efficiency focus.
• Ability to interpret and communicate data-driven insights clearly, in writing and speaking.
• Strong learning mindset and ability to perform under pressure in a fast-paced environment.
• Excellent collaboration and attention to data quality and validation.

Responsibilities

• 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 reporting frameworks tracking metrics and workflow improvements.
• Continuously refine processes to ensure scalability and data integrity.
• Demonstrate ownership and proactive problem solving.

Skills

Data analysis

Data annotation

Workflow optimization

communication skills

Collaboration

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

• 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

• 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.

This is a 100% remote contract role, open to applicants worldwide in the countries the employer accepts.