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OpenTrain AI is seeking a Finance Document Evaluation Specialist to review finance, accounting, and business operations documents used in evaluation projects. You will combine professional expertise with careful written analysis to assess quality, accuracy, and relevance.
This remote contractor role offers flexibility with a commitment of around 40 hours per week for candidates in the US, Europe, the UK, or Canada, paying $80–$160 per hour in USD.
OpenTrain AI is the hiring and contracting organization for this opportunity. OpenTrain is the #1 platform for finding and building careers in AI training and data labeling, helping professionals discover projects, build a credible profile, and apply in minutes. Creating an OpenTrain account is free.
AI training is the human side of building artificial intelligence. People review documents, assess model outputs, and provide structured feedback that helps AI systems produce more accurate and useful results. This role applies finance and business expertise to document evaluation projects at the cutting edge of how AI is developed.
OpenTrain is recruiting a Finance Document Evaluation Specialist to review, assess, and provide structured feedback on finance, accounting, and business operations documents used in evaluation projects. You will combine professional expertise with careful written analysis to assess quality, accuracy, and relevance.
This is a remote contractor opportunity for candidates based in the United States, Europe, the United Kingdom, or Canada. The expected commitment is about 40 hours per week, with the structured opportunity details indicating a commitment of 20 or more hours per week.
You will evaluate documents against established criteria and communicate findings in a clear, organized format. Accuracy, consistency, and attention to detail are central to the work.
This opportunity is listed at the entry level, but it requires an academic background and professional experience in finance, accounting, business operations, or a closely related field. Candidates should be comfortable analyzing documents, writing precise feedback, and following structured review guidelines.
Modern AI systems learn from examples prepared and reviewed by people. By evaluating finance and business documents and explaining what is accurate, relevant, or needs improvement, you help shape how AI systems handle professional information.