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Finance Document Evaluation Specialist

Remote / Online - Candidates ideally in
Northern, Floyd County, Kentucky, USA
Listing for: OpenTrain AI
Full Time, Part Time, Remote/Work from Home position
Listed on 2026-09-12
Job specializations:
  • Business
    AI Evaluation
Salary/Wage Range or Industry Benchmark: 80 - 160 USD Hourly USD 80.00 160.00 HOUR
Job Description & How to Apply Below

About Open Train

Open Train AI is the hiring and contracting organization for this opportunity. Open Train 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 Open Train account is free.

  • Build a lasting portfolio of AI training and evaluation experience
  • Find work that matches your professional expertise
  • Work remotely through a flexible contractor opportunity
About AI Training and Document Evaluation

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.

  • Use professional judgment to support consistent AI evaluation
  • Apply finance and accounting knowledge to real document reviews
  • Contribute to a fast-growing technology industry from anywhere
The Role

Open Train 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.

  • Contractor and part-time opportunity
  • Remote work arrangement
  • Hourly pay of $80 to $160 USD
  • English-language work
  • Candidates may be based in the United States, Europe, the United Kingdom, or Canada
What You’ll Do

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.

  • Review finance, accounting, and business operations documents for quality and accuracy
  • Assess whether documents are relevant to applicable evaluation criteria
  • Provide structured, clearly written feedback
  • Follow established guidelines consistently across document assessments
  • Apply professional judgment to identify issues
  • Communicate findings in a useful and organized manner
Requirements

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.

  • Bachelor’s degree or higher
  • At least two years of professional experience in finance, accounting, business operations, or a relevant domain
  • Strong analytical and written communication skills
  • Strong document analysis and review skills
  • Strong proficiency in Excel, PowerPoint, and Word
  • Close attention to detail
  • Ability to follow structured guidelines while maintaining accuracy
Why This Work Matters

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.

  • Apply specialized finance knowledge to emerging AI systems
  • Work remotely with a flexible contractor arrangement
  • Develop experience in AI training, evaluation, and data quality
  • Help improve the reliability of AI-generated business content
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