Human Data Manager, New Grad

Confidential; United States; Remote; USD 60,000 - 100,000; Full time

Job summary

Zekai seeks a Human Data Manager, New Grad for a fully remote role. You will help train next-generation AI by shaping data inputs, building robust workflows, and maintaining data quality to influence how models learn and reason.

Recent graduates in relevant fields will apply their domain knowledge to improve annotation processes, analyze data, and report findings. This role offers growth in a fast-paced, globally distributed team and ongoing learning opportunities.

Qualifications

• Recent graduate with CS/data analytics/engineering/econ/finance background.
• Technical aptitude with data analysis and workflow optimization experience.
• Strong communication of data-driven insights in writing and speaking.
• Ability to thrive in a fast-paced, remote environment.

Responsibilities

• Design, build, and manage robust data workflows for annotation and processing.
• Establish KPIs to optimize performance and drive data-driven decisions.
• Analyze datasets to uncover actionable insights and recommendations.
• Collaborate cross-functionally to align data strategies with business goals.
• Develop reporting frameworks tracking metrics and workflow improvements.
• Refine processes to ensure scalability and data quality.
• Demonstrate ownership and proactive problem solving in operations.

Skills

Data analysis

Annotation

Workflow optimization

Communication

Attention to detail

Education

Bachelor’s or Master’s degree in CS, Data Analytics, Industrial Engineering, Operations Management, Economics, Finance or related fields

Tools

Excel

Tableau

Power BI

Python

SQL

Job 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.

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