Data Science AI Evaluation Expert

About OpenTrain

OpenTrain AI is the hiring and contracting organization for this role and the leading platform for finding and building careers in AI training and data labeling. OpenTrain helps specialists create a professional profile, discover projects that match their expertise, and grow a lasting portfolio in this fast-moving field.

Creating an OpenTrain account is free, and candidates apply through OpenTrain for opportunities that connect professional knowledge with the development of modern AI systems.

About AI Training Work

AI training is the human side of building artificial intelligence. People review model responses, evaluate data and documents, write prompts, fact-check content, and provide structured feedback so AI systems become more accurate, useful, and reliable.

This work is remote and often flexible, allowing specialists to contribute from anywhere with the required equipment and internet connection. Your analytical judgment and technical communication will directly support the quality of AI-generated material.

The Role

OpenTrain AI is seeking a Data Science AI Evaluation Expert to review and improve AI-generated content and data outputs using professional judgment, research, and project-specific evaluation rubrics. The work focuses on analytical and technical material and combines data science expertise, document review, prompt development, structured model evaluation, and clear technical communication.

This is a remote, part-time contractor opportunity requiring 20 or more hours per week. The advertised rate is $100-$200 per hour. The role is listed as entry level, while the requirements call for at least three years of relevant professional experience.

• Employment type: Part-time contractor
• Time requirement: 20+ hours per week
• Advertised rate: $100-$200 per hour
• Primary language: English
• Location: Candidates in the listed eligible countries

What You'll Do

You will assess the quality of AI-generated content and data outputs, identify errors or inconsistencies, and explain how materials can be improved. The role involves independent research, careful documentation, and asynchronous collaboration with project leads and other domain experts.

• Review, edit, and refine AI-generated content and data outputs for accuracy, clarity, relevance, and analytical quality.
• Develop and optimize prompts that guide AI models toward useful and well-supported outputs.
• Evaluate model performance against project rubrics and provide structured feedback and improvement suggestions.
• Conduct independent research to validate facts and support reliable content evaluation.
• Annotate data, fact-check outputs, and contribute to quality assurance activities.
• Interpret complex datasets or findings and summarize them in actionable reports and technical summaries.
• Share insights and effective practices with project leads and other experts asynchronously.

Required Qualifications

Applicants should bring substantial analytical experience and a demonstrated ability to create or review technical and research-oriented materials. Strong written communication is essential because evaluations, revisions, and recommendations must be explained clearly.

• 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, attention to detail, and quantitative judgment.
• Advanced professional writing, report writing, business communication, or technical communication skills.
• Ability to assess complex information, identify errors or inconsistencies, and explain revisions clearly.
• Ability to design and refine prompts, evaluate AI outputs against rubrics, fact-check content, and explain improvements.

Helpful Background

Prior experience with AI is not required when you bring strong domain expertise and relevant analytical or documentation experience. Background in the following areas can help you contribute effectively to model evaluation and quality assurance.

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

Why Work With OpenTrain

AI training and data-labeling work is a growing way for professionals to participate in technology without leaving their specialty behind. By evaluating analytical outputs and improving how models respond, you help shape how state-of-the-art AI systems work.

OpenTrain gives you a place to build a credible record of AI training experience, discover relevant projects, and develop that work into a longer-term professional portfolio.

• Remote work with a flexible part-time schedule
• An opportunity to apply data science and analytical expertise to cutting-edge AI
• A profile and portfolio that can support continued growth in AI training
• Free account creation and application through OpenTrain

How to Apply

Create a free OpenTrain account, build your profile around your data science and analytical experience, and apply through OpenTrain. Highlight your research, reporting, notebooks, technical documentation, prompt development, evaluation, and fact-checking experience.