Human Data Operations Manager

You will manage the workflows used to collect, annotate, process, and analyze human data for AI training. The role combines workflow ownership, operational reporting, quality control, and hands-on process improvement.

You will also review data and performance information, identify practical improvements, and work with different functions to connect data plans with broader business goals.

• Design, build, and manage data annotation, collection, processing, and analysis workflows.
• Set and monitor key performance indicators that support operational decisions.
• Analyze datasets, identify useful insights, and present recommendations.
• Create reporting frameworks to track important metrics and workflow improvements.
• Improve processes for scale, data integrity, validation, and consistent quality.
• Take ownership of operational challenges and develop practical solutions.

What It Pays And Takes

This is a part-time contract role for someone who can combine data operations with practical workflow improvement. The work requires careful attention to data quality and clear communication of findings.

• Pay: $40 to $60 per hour.
• Time: At least 20 hours per week.
• Location: Open to candidates in the listed countries across the Americas, Europe, Asia, Africa, and the Middle East.
• Location: Open to candidates in Algeria, Argentina, Austria, Bahrain, Bangladesh, Belgium, Brazil, Canada, Chile, Colombia, Denmark, Egypt, Ethiopia, France, Germany, Ghana, Greece, India, Indonesia, Italy, Japan, Jordan, Kazakhstan, Kenya, Kuwait, Kyrgyzstan, Lebanon, Malaysia, Mexico, Morocco, the Netherlands, Nigeria, Oman, Pakistan, Palestinian Territories, Peru, the Philippines, Portugal, Qatar, Saudi Arabia, Singapore, South Africa, Spain, Sri Lanka, Switzerland, Taiwan, Thailand, Tunisia, the United Arab Emirates, the United Kingdom, the United States, Uzbekistan, and Vietnam.
• Language: Fluent in English.
• Experience: Experience in data analysis, annotation, data operations, or workflow optimization.
• Skills: Technical aptitude, familiarity with operational processes, and an ability to improve efficiency.
• Communication: Able to explain data-based findings clearly in writing and conversation.
• Quality: Strong attention to detail when managing data quality and validation.
• Collaboration: A proactive, hands-on approach and the ability to work effectively across functions.
• Helpful background: Engineering or another technical field with an operational focus.
• Useful experience: Human data projects, AI or machine learning, process optimization, or internship and project work in data management or related operations.
• Useful tools: Excel, Tableau, Power BI, Python, or SQL.

How It Works

Apply on OpenTrain with your resume, then complete the application on the hiring site.

About AI Training Work

AI training is the human work behind artificial intelligence, including preparing, reviewing, and improving datasets used to teach AI systems. People with experience in data quality, analysis, and workflow management help make this work accurate and dependable.