Remote Human Data Manager — New Grad

Zekai; 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

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.