The work
You will manage workflows that support data annotation, collection, processing, and analysis for AI training. The role combines hands-on operations with reporting, quality oversight, and process improvement.
- Design, build, and manage human data workflows.
- Set and monitor key performance indicators, or KPIs, for operational performance.
- Analyze datasets and turn findings into practical recommendations.
- Create reporting frameworks and coordinate data strategies across functions.
- Improve processes for scalability, data integrity, and consistent quality.
- Take ownership of operational issues and help resolve them proactively.
What it pays and takes
The listing does not provide a pay rate. This is a remote contractor role with part-time classification and a commitment of 20 or more hours each week.
- Work arrangement: Remote.
- Time requirement: 20+ hours per week.
- Location: Open to candidates across the listed countries in the Americas, Europe, Asia, Africa, and the Middle East.
- Language: Fluent in English.
- Education: A bachelor's or master's degree in computer science, data analytics, industrial engineering, operations management, economics, finance, or a related field.
- Required skills: Technical aptitude in data analysis, annotation, data management, or workflow optimization.
- You should understand operational processes, communicate data-driven insights clearly, collaborate well, and pay close attention to data quality and validation.
- Prior AI experience is not required.
- Helpful tools and experience include Excel, Tableau, Power BI, Python, SQL, data management, machine learning, human data, or process optimization projects.
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 modern AI systems, including preparing, reviewing, and analyzing examples that help models learn. OpenTrain is a platform where people find AI training and data-labeling opportunities, build a profile, and apply in minutes.