Human Data Manager - Remote

YO AI Labs; New York (NY); Remote; USD 90,000 - 120,000; Full time

Job summary

YO AI Labs is seeking a Human Data Manager to oversee data workflows, improve operational efficiency, and ensure high-quality datasets for AI training projects.

You will manage data annotation, collection, processing, and analysis, establish KPIs, monitor performance, collaborate with cross-functional teams, and develop reports tracking key metrics to optimize workflows.

Qualifications

• Experience in data analysis, annotation, or workflow optimization.
• Understanding of operational processes and efficiency improvement.
• Strong analytical, communication, and problem-solving skills.
• Ability to work effectively in a fast-paced, collaborative environment.

Responsibilities

• Manage data annotation, collection, processing, and analysis workflows.
• Establish KPIs and monitor operational performance.
• Analyze datasets and recommend process improvements.
• Collaborate with cross-functional teams to align data strategies with business goals.
• Develop reports to track key metrics and workflow performance.
• Improve processes, maintain data integrity, and ensure quality standards.
• Identify and resolve operational challenges proactively.

Skills

Data analysis

Workflow optimization

Communication

Problem-solving

Collaboration

Tools

Excel

Tableau/Power BI

Python

SQL

Job description

Job Title: Human Data Manager

Job Type: Full-time
Location: Remote

We are seeking a Human Data Manager to oversee data workflows, improve operational efficiency, and ensure high-quality datasets for AI training projects.

Key Responsibilities

• Manage data annotation, collection, processing, and analysis workflows.
• Establish KPIs and monitor operational performance.
• Analyze datasets and recommend process improvements.
• Collaborate with cross-functional teams to align data strategies with business goals.
• Develop reports to track key metrics and workflow performance.
• Improve processes, maintain data integrity, and ensure quality standards.
• Identify and resolve operational challenges proactively.

Required Qualifications

• Experience in data analysis, annotation, or workflow optimization.
• Understanding of operational processes and efficiency improvement.
• Strong analytical, communication, and problem-solving skills.
• Ability to work effectively in a fast-paced, collaborative environment.
• Excellent attention to detail and data quality management.

Preferred Qualifications

• Background in engineering, technical operations, or human data projects.
• Familiarity with Excel, Tableau, Power BI, Python, or SQL.
• Project or internship experience in data management, AI/ML, or process optimization.

Regional Hiring: Roles are available across multiple regions. Responsibilities remain consistent, while employment terms may vary by location.