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OpenTrain AI is seeking an entry-level Data Annotation and AI Training Reviewer to support data review and annotation projects. This is a part-time contractor role based in the United States, with an expected commitment of 20+ hours per week and a primary language of English.
You will evaluate, label, classify, and validate text data according to detailed project guidelines, working remotely and meeting productivity and quality targets while applying strong judgment and documentation.
OpenTrain AI is the hiring and contracting organization for this role. OpenTrain is the #1 platform for finding and building careers in AI training and data labeling, helping people discover projects, build a professional profile, and apply in minutes.
Creating an OpenTrain account is free, making it easier to start and grow a career in the rapidly expanding field of AI training.
AI training is the human side of building artificial intelligence. People review and prepare examples that help modern AI systems understand information, evaluate outputs, and improve their performance.
In this role, your careful decisions will contribute to datasets used to train and assess AI systems. The work is remote and offers a way to gain practical experience in a cutting-edge technology industry.
OpenTrain AI is seeking a detail-oriented Data Annotation and AI Training Reviewer to support data review and annotation projects. You will evaluate, classify, label, and validate text content according to detailed project guidelines.
This is an entry-level, part-time contractor opportunity for candidates currently based in the United States. The expected time commitment is 20 or more hours per week.
You will work independently in a remote environment while applying project rules consistently and meeting assigned productivity and quality targets. Strong judgment and careful documentation will help maintain reliable datasets.
Candidates must be currently based in the United States and have strong English reading, writing, and comprehension skills. A bachelor's degree or current undergraduate study in a relevant field is requested, though equivalent experience may also qualify.
Professional writing experience is required. Relevant backgrounds may include business analysis, research analysis, copywriting, journalism, technical writing, editing, or translation.
Previous experience in data annotation, content review, quality assurance, or similar work is preferred but not required. Familiarity with AI or machine learning data projects can be helpful.
AI training and data labeling are among the fastest-growing ways to work in technology. Contributors help shape how AI systems process information and behave, while developing experience in a field that spans language, analysis, evaluation, and quality assurance.
Many AI training projects are remote and flexible, making this work possible alongside studies, another job, or family responsibilities. This position offers a practical entry point for professionals who bring strong writing and analytical skills.