The work
You will manage workflows that support data annotation, collection, processing, and analysis for AI training. The role combines operational planning with hands-on data-quality oversight and process improvement.
You will also work across functions to organize data strategies, identify operational issues, and turn analysis into clear recommendations. Prior AI experience is not required.
- Design, build, and manage annotation, collection, processing, and analysis workflows.
- Set and monitor key performance indicators, or KPIs, to measure operational performance.
- Analyze datasets and communicate useful, data-based recommendations in writing and conversation.
- Create reporting frameworks and coordinate data strategies across functions.
- Improve scalability, data integrity, validation, and consistent quality.
- Take ownership of operational challenges and help resolve them proactively.
What it pays and takes
This remote contractor role is listed as part time and requires at least 20 hours per week. Regional hiring is aligned with coverage, compliance, and time-zone needs.
- Pay: No rate is provided in the listing.
- Hours: 20 or more hours per week.
- Work arrangement: Remote, part-time contractor role.
- Language: Fluency in English.
- Location: Open to candidates in Algeria, Argentina, Austria, Bahrain, Bangladesh, Belgium, Brazil, Canada, Chile, Colombia, Denmark, Egypt, 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.
- Location: Also open across listed countries in Europe, Africa, Asia, and the Middle East, subject to regional coverage and compliance needs.
- Education: Bachelor's or master's degree in computer science, data analytics, industrial engineering, operations management, economics, finance, or a related field.
- Skills: Technical ability in data analysis, annotation, data management, or workflow optimization; clear communication; collaboration; attention to detail; and care for data quality and validation.
- Helpful tools and experience: Excel, Tableau, Power BI, Python, SQL, data management, machine learning, human data, process optimization, or an engineering and technical background with an operational focus.
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 6 screening questions.
About AI training work
AI training is the human work behind artificial intelligence. People prepare, review, and validate examples such as annotated data so AI systems can learn from reliable information.