Generalist for Data Annotation (English)

This remote, part-time contractor role focuses on labeling and reviewing images for AI training. The title is Generalist for Data Annotation, while the duties and qualifications focus on image annotation, so review them before applying.

• Label and categorize images using project guidelines.
• Check annotations for accuracy and consistency, find discrepancies, and correct them.
• Explain labeling decisions, document methods, and give feedback to improve annotation processes.
• Work independently and with project participants to clarify requirements, incorporate feedback, and meet delivery timelines.
• Adapt to updated guidelines, tools, and project requirements.

• Pay: $21 to $35 per hour.
• Work arrangement: Remote, part-time contract work. Weekly hours are not specified.
• Language: English fluency is required.
• Location: Open to candidates in the following countries:
• Algeria, Argentina, Austria, Bahrain, Bangladesh, Belgium, Brazil, Canada, Chile, Colombia, Denmark, Egypt, France, Germany, Ghana, Greece, India, Indonesia, Italy, Japan, Jordan, Kazakhstan, Kenya, Kyrgyzstan, Kuwait, Lebanon.
• 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.
• Requirements include experience with data annotation, especially image annotation, and proficiency with image annotation tools.
• You should communicate clearly, pay close attention to detail, work independently on complex tasks, learn guidelines, meet goals, and apply feedback quickly.
• Computer vision, data analysis, or a related background is helpful. Prior AI experience is not required.

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 3 screening questions.

AI training is the human work behind AI systems: people prepare and review examples that help models learn. Image annotation provides labeled visual examples, and careful review helps keep that data accurate.