The work
You will manage workflows that support human data projects used to train AI systems. The work covers annotation, data collection, processing, analysis, reporting, and quality control.
You will use operational metrics and dataset findings to improve delivery, protect data quality, and make workflows easier to scale. The role is hands-on and includes solving operational problems as they arise.
- Design, build, and manage annotation, collection, processing, and analysis workflows.
- Set and monitor KPIs that support operational performance and data-based decisions.
- Analyze datasets, identify useful findings, and present recommendations.
- Create reporting frameworks for key metrics and workflow improvements.
- Improve processes for scalability, data integrity, validation, and consistent quality.
- Work across functions to connect data strategies with wider business goals.
What it pays and takes
Experience in data analysis, annotation, data operations, or workflow improvement is relevant, and the work requires careful attention to data quality.
- Pay: $40 to $55 per hour.
- Time: 20+ hours per week.
- Location: Open to candidates in the countries specified for this role across the Americas, Europe, Africa, Asia, and the Middle East.
- Language: Fluent in English.
- Bring technical aptitude, clear communication, collaboration skills, and a practical approach to solving problems.
- Helpful background includes engineering or another technical field with an operations focus, human data or AI projects, machine learning, or process improvement.
- Experience with Excel, Tableau, Power BI, Python, or SQL is useful, as is project-based or internship experience in data management or related operations.
How it works
You apply here in about two minutes and finish on the hiring platform. The next step is a short AI interview (technical roles include a coding challenge). Passing it is how you qualify for paid tasks, so take it soon after you are invited.
The hiring platform's application for this job asks for your resume, your LinkedIn profile, your phone number, your location and answers to 4 screening questions.
About AI training work
AI training work is the human side of building artificial intelligence. People prepare and review examples, such as labeled data and written evaluations, so AI systems can learn from useful, accurate information. Experienced contributors are paid for applying careful judgment, domain knowledge, and quality standards to this work.