Data Science AI Evaluation Expert

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. It helps specialists discover projects, build a professional AI training profile, and apply for opportunities in a fast-growing field where human expertise shapes how advanced AI systems work.

About AI Evaluation Work

AI evaluation is the human side of improving artificial intelligence. Experts review model-generated content and data, check whether outputs are accurate and useful, and provide structured feedback that helps AI systems produce better results. This work can include prompt development, rubric-based review, fact-checking, annotation, and technical writing.

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. You will focus on analytical and technical material while combining data science expertise, document review, prompt development, structured model evaluation, and clear technical communication.

This is a remote, part-time contractor opportunity for specialists who regularly create or review analytical and technical materials. The role requires meticulous written communication, independent contribution, and asynchronous collaboration with project leads and other experts.

• Contractor position
• Part-time work requiring 20+ hours per week
• Remote and available worldwide
• English-language work
• Advertised rate: $100–$200 per hour

What You'll Do

You will assess AI outputs for accuracy, clarity, relevance, and analytical quality, then provide actionable feedback and revisions. Your work will help improve the reliability and usefulness of AI-generated technical content and data.

• Review, edit, and refine AI-generated content and data outputs.
• Develop and optimize prompts that guide AI models toward useful, well-supported outputs.
• Evaluate model performance against project-specific rubrics.
• Provide structured feedback and suggestions for improvement.
• Conduct independent research to validate facts and support reliable 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.
• Collaborate asynchronously with project leads and other domain experts.

Required Qualifications

You should bring substantial analytical experience and a demonstrated ability to produce or review complex technical material. Prior AI experience is not required when you have strong domain expertise and relevant analytical or documentation experience.

• 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 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

The following experience is helpful but not required: data annotation, content review, rubric-based evaluation, prompt engineering, AI output evaluation, fact-checking, or reinforcement learning from human feedback. An advanced degree or experience in research organizations or technology-focused environments is also preferred.

• Master's degree, JD, MBA, PhD, or another advanced degree
• Experience with data annotation or content review
• Experience with rubric-based evaluation or AI output evaluation
• Prompt engineering or reinforcement learning from human feedback experience
• Background in research organizations or technology-focused environments

Why Build Your AI Training Career with OpenTrain

OpenTrain gives freelancers one place to manage AI training opportunities, showcase credible experience, and build a durable professional portfolio. By applying your data science expertise to AI evaluation, you can contribute directly to how modern AI systems understand and communicate analytical information.

• Work remotely with flexible, part-time scheduling.
• Apply specialized analytical expertise to cutting-edge AI development.
• Build a unified portfolio of AI training and data-labeling experience.
• Create a free OpenTrain account and apply in minutes.