Other · Permanent
Human Data Manager - Remote
YO AI Labs · New York, United States
- Location: New York, United States
- Employment: Permanent
Job description
Job Description 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.
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.