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OpenTrain AI is seeking a GTM and revenue operations document evaluation expert to review domain-specific business documents for accuracy, quality, and relevance. You will use defined standards to assess materials and explain your decisions through clear, organized written feedback.
This is remote contract work for professionals located in the United States, Europe, the United Kingdom, or Canada, with a 40-hour baseline and 20+ hours per week minimum.
OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. We connect professionals with specialized projects, help them build a credible AI training profile, and make it easier to apply for work that matches their expertise.
OpenTrain AI is hiring and contracting for this remote document evaluation opportunity. Creating an OpenTrain account is free, and your profile can help you develop a lasting portfolio of AI training experience.
AI training is the human work behind modern artificial intelligence. People review examples, evaluate content, and provide structured feedback that helps AI systems produce more accurate, useful, and relevant results.
In this project, your practical commercial knowledge will help assess sales, go-to-market, and revenue operations materials. Your judgments and written feedback will support consistent evaluation of business content.
OpenTrain is seeking a GTM and revenue operations document evaluation expert to review domain-specific business documents for accuracy, quality, and relevance. You will use defined standards to assess materials and explain your decisions through clear, organized written feedback.
This is remote contract work for professionals located in the United States, Europe, the United Kingdom, or Canada. The role is listed as requiring 20 or more hours per week, with a default commitment of 40 hours per week.
You will analyze written business materials and evaluate whether they meet defined expectations for accuracy, quality, relevance, and usefulness. The work requires careful attention to detail, practical commercial judgment, and the ability to communicate the basis for each assessment.
Applicants must have a bachelor’s degree and at least two years of professional experience in sales, revenue operations, go-to-market, or a related domain. You should be comfortable analyzing business documents, following detailed evaluation guidelines, and translating professional knowledge into precise written feedback.
Experience in sales operations, revenue strategy, pipeline management, commercial planning, or go-to-market execution can provide useful context for this work. Professionals should be able to distinguish accurate, relevant business content from material that needs improvement and explain those distinctions clearly.
AI training and data labeling are among the fastest-growing ways to work in technology. Contributors help shape how AI systems understand information and respond to real-world needs, often through remote projects that can fit around other professional or personal commitments.
This role offers a direct way to apply your commercial expertise to emerging AI systems while building experience in a rapidly developing field.