Data Science AI Evaluation Expert

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. OpenTrain AI recruits specialists for projects that help improve modern AI systems, giving contributors a place to build a credible portfolio and apply their expertise to cutting-edge work.

Creating an OpenTrain account is free, and contributors can use their profile to show relevant experience and pursue AI training opportunities that match their skills.

• Remote contractor opportunity
• Part-time engagement with 20+ hours per week
• Worldwide opportunity for qualified contributors
• English-language work

About AI Training and Model Evaluation

AI training is the human side of building artificial intelligence. Specialists review examples, assess model responses, annotate information, and provide structured feedback so AI systems can become more accurate, useful, and reliable.

In this role, your analytical judgment and technical communication will help evaluate AI-generated materials. The work combines data review, fact-checking, prompt development, quality assurance, and clear explanations of how outputs can be improved.

• Contribute to the development of modern AI systems
• Apply professional expertise to model outputs and analytical content
• Work remotely with flexible, project-based responsibilities

The Role

OpenTrain is seeking a Data Science AI Evaluation Expert to review and improve AI-generated content and data outputs. You will use professional judgment, research, and project-specific evaluation rubrics to assess accuracy, clarity, relevance, and analytical quality.

This is a remote, part-time contractor opportunity for specialists who regularly create or review analytical and technical materials. The listing is marked entry level, while the required background includes at least three years of relevant professional experience.

• Pay: $100 to $200 per hour
• Time requirement: 20+ hours per week
• Employment type: Part-time contractor
• Work location: Worldwide and remote
• Primary language: English

What You'll Do

You will assess AI outputs against defined standards, validate information through research, and communicate practical recommendations for improvement. The work requires careful attention to detail, quantitative judgment, and the ability to explain complex findings clearly.

• Review, edit, and refine AI-generated content and data outputs
• Assess accuracy, clarity, relevance, and analytical quality
• Develop and optimize prompts for useful, well-supported model outputs
• Evaluate model performance against project-specific rubrics
• Provide structured feedback and improvement suggestions
• Conduct independent research to validate facts
• Annotate data, fact-check outputs, and support quality assurance
• Interpret complex datasets or findings
• Prepare actionable reports and technical summaries
• Collaborate asynchronously with project leads and other domain experts

Required Qualifications

Candidates should bring strong analytical expertise and a demonstrated ability to produce or review rigorous technical materials. You must be able to identify errors or inconsistencies in complex information and explain revisions in clear, professional language.

• At least three years of professional experience in data science, machine learning, applied AI, statistics, quantitative analytics, or data analytics
• Experience producing or reviewing research papers, analytical reports, experiment summaries, notebooks, or technical documentation
• Strong analytical reasoning, critical thinking, quantitative judgment, and attention to detail
• Advanced professional, report-writing, business, or technical communication skills
• Ability to design and refine prompts
• Ability to evaluate AI outputs against rubrics
• Ability to fact-check content and explain recommended improvements

Helpful Background

Prior AI experience is not required when you bring strong domain expertise and relevant analytical or documentation experience. Experience with human feedback, annotation, content review, or prompt work can help you contribute effectively.

• Data annotation or content review experience
• Rubric-based evaluation or AI output evaluation
• Prompt engineering experience
• Fact-checking experience
• Experience with reinforcement learning from human feedback
• A master's degree, JD, MBA, PhD, or another advanced degree
• Experience in research organizations or technology-focused environments

Why Do AI Training Work

AI training and data labeling are among the fastest-growing ways to work in tech. People prepare and evaluate the examples modern AI models learn from, including written responses, analytical materials, and structured data.

This work is fully remote and can fit around other responsibilities. By contributing your data science expertise, you can help shape how advanced AI systems reason, communicate, and perform while developing experience in an expanding field.

• Work from anywhere with an internet connection
• Choose flexible part-time work that fits your schedule
• Apply specialized expertise to influential AI projects
• Build a durable portfolio of AI training experience

How to Get Started

Create a free OpenTrain account, complete your profile with relevant data science and technical communication experience, and apply to this opportunity. A strong profile helps demonstrate your analytical background and the quality of materials you have produced or reviewed.

• Create your free OpenTrain account
• Highlight data science, analytics, research, and documentation experience
• Show relevant prompt, evaluation, annotation, or fact-checking skills
• Apply in minutes and follow the project instructions