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OpenTrain AI is seeking a Generalist contractor to analyze, evaluate, and annotate a variety of text datasets for AI system training and validation. You will provide clear written input, review model outputs, and contribute to quality assurance processes across multiple domains.
This role is remote and expected to run for approximately 3 to 6 months. Compensation is listed at $50 to $90 USD per hour, with a stated rate of $70 USD per hour.
OpenTrain AI is the hiring and contracting organization for this remote opportunity. OpenTrain is the #1 platform for finding and building careers in AI training and data labeling, helping contributors discover projects, build experience, and apply in minutes.
AI training is the human side of building modern artificial intelligence. Contributors prepare and review examples, evaluate model responses, and provide feedback that helps AI systems become more relevant, accurate, and useful.
This work offers a direct opportunity to contribute to cutting-edge AI development in a flexible, digital-first environment. Your analysis and written input can help shape how models respond across a broad range of topics.
OpenTrain is seeking a Generalist contractor to analyze, evaluate, and annotate a variety of text datasets for AI system training and validation. You will provide clear written input, review model outputs, and contribute to quality assurance processes across multiple domains.
This role is remote and expected to run for approximately 3 to 6 months. Compensation is listed at $50 to $90 USD per hour, with a stated rate of $70 USD per hour.
You will work independently and collaboratively to complete project tasks according to detailed guidelines. The work requires careful judgment, strong written communication, and consistent attention to quality.
Candidates must have exceptional written and spoken English skills and be native or bilingual English speakers. The opportunity is open to candidates based in the United States, United Kingdom, Canada, New Zealand, Ireland, and Australia.
Prior experience with data labeling or annotation projects is helpful but not required. The role is suited to people who can deliver precise work, follow requirements carefully, and remain effective in a fully remote environment.
Apply if you enjoy analyzing information, solving ambiguous problems, and communicating thoughtful feedback. This project may suit experienced professionals and capable independent contributors who can evaluate text carefully and maintain consistent standards across varied tasks.
You do not need prior data-labeling experience to be considered, but you should bring strong judgment, excellent English communication, and the ability to work reliably within project guidelines.