Data Analysis AI Output Evaluator

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. It helps people discover projects, create a professional profile, and apply in minutes while building experience in a fast-growing technology field.

OpenTrain AI is recruiting contractors for this remote engagement. Creating an OpenTrain account is free, and your profile can help you showcase relevant expertise as you grow your AI training portfolio.

About AI Training Work

AI training is the human side of building artificial intelligence. People with professional expertise review and evaluate AI-generated work so models can produce more accurate, useful, rigorous, and well-presented results.

This work is remote and often flexible, making it possible to contribute from anywhere while choosing opportunities that match your skills and experience.

The Role

As a Data Analysis AI Output Evaluator, you will assess AI-generated documents, spreadsheets, and slide decks used for data analysis and quantitative readouts. You will apply subject-matter expertise to judge accuracy, rigor, factual soundness, visual quality, and presentation.

This is a worldwide, remote, hourly contractor engagement paying $80-$120 per hour. The role is part-time and requires 20 or more hours per week. The listing identifies the opportunity as entry level, while the role requirements call for at least five years of relevant professional experience.

• Engagement type: Contractor and part time
• Work arrangement: Remote and worldwide
• Time commitment: 20+ hours per week
• Pay: $80-$120 per hour
• Working language: English

What You'll Do

You will evaluate AI-generated business and quantitative work products against detailed, domain-specific quality rubrics. Your assessments will help identify weaknesses and improve the quality of AI-generated analysis materials.

Consistent judgment and clear written feedback are central to the role. You will explain quality gaps and evaluation decisions in a structured way.

• Review AI-generated documents, spreadsheets, and slide decks
• Assess quantitative readouts for accuracy, rigor, and suitability for their intended purpose
• Identify factual, aesthetic, visual, and presentation errors
• Grade generated outputs using consistent subject-matter judgment
• Provide clear, structured written feedback about issues and quality gaps

Requirements

You should have at least five years of professional experience in data analysis or quantitative readouts, with strong judgment regarding quantitative accuracy and rigor. Native or professional fluency in English is required.

The role also requires high proficiency with Microsoft Office and Google Workspace, particularly Google Slides or PowerPoint, for reviewing business materials. You must be able to apply detailed quality standards and explain evaluation decisions clearly.

An advanced degree, such as a master's degree or higher, from a reputable institution is preferred.

• At least five years of relevant professional experience
• Professional experience evaluating data analysis or quantitative readouts
• Strong judgment of quantitative accuracy and rigor
• Native or professional fluency in English
• High proficiency with Microsoft Office and Google Workspace
• Strong Google Slides or PowerPoint skills
• Ability to provide clear, structured feedback

Who Should Apply

This opportunity is suited to experienced data analysts and other quantitative professionals who can review business-facing materials closely and distinguish reliable analysis from errors or weak reasoning.

It may be a strong fit if you enjoy applying structured standards, assessing both substance and presentation, and communicating detailed feedback that improves how AI systems generate analytical work.

• Data analysts with substantial professional experience
• Quantitative professionals familiar with business readouts
• Reviewers who notice factual, visual, and presentation issues
• Clear communicators comfortable explaining evaluation decisions

How to Apply

Apply through OpenTrain to be considered for this remote AI training engagement. Your OpenTrain profile gives you one place to present your relevant experience and discover additional projects aligned with your skills.

AI training and data-labeling work can provide flexible opportunities to contribute directly to the development of modern AI systems while building a durable professional portfolio.

• Create a free OpenTrain account
• Build your profile around your data analysis experience
• Apply to this opportunity in minutes
• Continue discovering AI training work that matches your expertise