Human Data Manager

About OpenTrain

OpenTrain AI is the hiring and contracting organization for this role. OpenTrain is the #1 platform for finding and building careers in AI training and data labeling, helping people discover projects, build an AI training profile, and apply in minutes. Creating an account is free.

About AI Training and Human Data Work

AI systems learn from data prepared and reviewed by people. Human data professionals support this process by collecting, annotating, processing, analyzing, and quality-checking information that helps models perform reliably.

This work is part of a fast-growing technology field and can offer remote, flexible opportunities. In this role, your operational and analytical work will help make AI data workflows more accurate, scalable, and effective.

The Human Data Manager Role

OpenTrain is seeking an entry-level Human Data Manager to build and manage workflows supporting annotation, data collection, processing, and analysis for AI training. You will focus on operational performance, KPI tracking, reporting, data integrity, quality, and scalability.

The role is offered as a remote contractor position with part-time availability of 20 or more hours per week. The role description also calls for the ability to work full-time in a remote environment and contribute to a fast-moving team.

• Pay: $40 to $60 per hour
• Work arrangement: Remote and worldwide
• Engagement: Contractor and part-time
• Time commitment: 20+ hours per week
• Language: English
• Experience level: Entry level

What You'll Do

You will combine hands-on workflow management with data analysis and operational improvement. Your work will include designing reliable processes, monitoring performance, and turning findings into practical recommendations.

• Design and manage workflows for accurate annotation, collection, processing, and analysis.
• Establish and monitor KPIs to improve performance and support data-driven decisions.
• Analyze datasets and present recommendations that improve efficiency.
• Maintain reporting frameworks covering key metrics and workflow improvements.
• Work cross-functionally to align data strategy with operational objectives.
• Refine processes to keep work scalable, reliable, and high quality.

Requirements and Preferred Skills

This role is suited to someone with technical aptitude, strong attention to detail, and an interest in human-centered data operations. Experience with annotation, labeling, or prompt engineering is relevant, along with the ability to explain data-driven insights clearly in writing and conversation.

A background in engineering or another technical field with an operational focus is preferred. Familiarity with common analysis and reporting tools is a plus, but the listed experience level is entry level.

• Experience with human-centered data work such as annotation, labeling, or prompt engineering.
• Ability to design or improve data workflows and operational processes.
• Comfort analyzing datasets, tracking KPIs, and reporting on quality metrics.
• Technical aptitude in data analysis, annotation, or workflow optimization.
• Strong written and verbal communication skills.
• Attention to detail and a hands-on approach to operational challenges.
• Familiarity with Excel, Tableau, Power BI, Python, or SQL is a plus.
• Ability to work remotely and contribute to a fast-moving team.

Build Your Career in AI Training

Human data operations sits at the intersection of technology, analytics, and the people-powered work that makes modern AI possible. By improving the systems that support data quality and annotation, you will contribute to how AI is built and evaluated.

Create a free OpenTrain account to build your profile and apply for this opportunity.