Evaluate AI-generated documents, spreadsheets, and slide decks for factual accuracy, presentation quality, and domain rigor—remote contractor work at 20+ hours/week with pay up to $120/hr. Requires 5+ years in data analysis, strong English, and Office/Google Slides proficiency.
Generative AI & RLHF
100% Remote Hourly · $80–$120/hr
$80–$120/hr
Compensation
Worldwide
Eligibility
Expert
Experience
Jul 10, 2026
Posted
Open worldwide
Interested in this role?
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OpenTrain is the #1 platform for building careers in AI training and data labeling. We help people discover projects, build a unified AI training portfolio, and grow freelance careers teaching AI—creating durable opportunities for skilled reviewers and annotators.
OpenTrain is the hiring organization for this role and the place where your work and ratings contribute to a lasting profile you control. Creating an OpenTrain account is free and the first step to apply.
Why AI training matters
AI systems learn from examples prepared and reviewed by people. Tasks like annotating documents, reviewing model outputs, and providing human judgments shape how models behave and improve over time.
This work is highly flexible and remote, a strong fit for experienced professionals who want part-time, impactful work reviewing AI-generated analysis and presentation materials.
The role
You will evaluate AI-generated documents, spreadsheets, and slide decks for accuracy, rigor, and presentation quality. Your judgments help determine whether outputs meet domain rubrics and quality standards.
This is contractor, part-time work designed for careful reviewers with strong subject-matter expertise in data analysis and quantitative readouts.
What you'll do
Perform structured evaluations and write clear feedback that explains each rating and flags issues. Your feedback will be used to score outputs and guide future model improvements.
Evaluate AI-generated work products against domain-specific quality rubrics.
Identify factual errors, presentation flaws, and aesthetic issues in documents, spreadsheets, and slide decks.
Write concise, structured feedback that supports your evaluation and recommends fixes.
Apply subject-matter expertise to assess charts, tables, statistical readouts, and narrative interpretation of results.
Requirements
Candidates must meet every required qualification below. We will use these criteria to assess fit for the role.
5+ years of professional experience in data analysis or quantitative readouts.
Native or professional fluency in English, with excellent written communication for structured feedback.
Strong proficiency with Microsoft Office and Google Workspace, especially PowerPoint or Slides.
Proven ability to assess documents, spreadsheets, and slide decks with accuracy and rigor.
Comfort identifying factual, aesthetic, and presentation errors in domain work.
Preferred qualifications
These credentials are a plus and may influence compensation within the stated range.
Advanced degree (Master's or higher) in a quantitative or related field from a reputable institution.
Extensive experience preparing or reviewing analytical slide decks, technical reports, or executive summaries.
Compensation, schedule & logistics
This is a remote contractor role open worldwide. You will work a minimum of 20 hours per week and set your schedule within project timelines.
Pay is hourly and ranges from $80–$120 per hour depending on experience and demonstrated expertise, with top rates for highly experienced reviewers.
Employment type: Contractor, part-time.
Time commitment: 20+ hours/week.
Language: English required.
Data type: Documents, spreadsheets, slide decks. Label types: evaluation ratings and written feedback.
How it works & how to apply
Create a free OpenTrain account, complete your profile highlighting your data-analysis experience, and apply to this role. Your profile and past evaluations build your reputation and access to higher-paying projects.
If selected, you'll receive training on the role's rubrics and examples, then begin rating AI-generated outputs and providing structured feedback according to the guidelines.
Apply through your OpenTrain account and include examples of relevant work or summaries of your experience.
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