AI Domain Expert for Model Evaluation

About OpenTrain

OpenTrain AI is the hiring and contracting organization for this role and the #1 platform for finding and building careers in AI training and data labeling. OpenTrain helps professionals discover opportunities, build a credible AI-training profile, and grow their experience in this rapidly developing field.

About AI Model Evaluation

AI training is the human side of building artificial intelligence. Models improve when knowledgeable people review their outputs, compare them with clear standards, and provide structured feedback. In this role, your professional expertise will help shape how AI systems reason, communicate, and perform in realistic work situations.

• Work remotely on projects that contribute to the development of modern AI systems.
• Use your professional knowledge to assess accuracy, logic, quality, and adherence to best practices.
• Build experience in model evaluation, prompt design, data annotation, and human feedback work.

The Role

OpenTrain AI is seeking an AI Domain Expert for Model Evaluation to review AI-generated responses and professional documents. You will apply project rubrics, document evidence-based judgments, and explain your reasoning clearly so that feedback can improve model behavior.

This is part-time remote contractor work available worldwide. The role is listed as entry level in AI training, and prior experience with data annotation, prompt engineering, or AI output evaluation is helpful but not required. Strong real-world domain expertise and the ability to produce or review professional documents are central to success.

• Schedule: 20+ hours per week
• Employment type: Part-time contractor
• Location: Worldwide, remote
• Language: English
• Pay: $140–$200 USD per hour

What You'll Do

You will conduct careful, repeatable reviews of model outputs and related source materials. Your work will combine structured evaluation, professional writing, critical analysis, and thoughtful communication with remote collaborators.

• Evaluate AI-generated model outputs using project rubrics and detailed guidelines.
• Review source materials and model responses for accuracy, logic, and alignment with domain best practices.
• Document evidence-based judgments and explain nuanced feedback clearly.
• Design and refine prompts based on realistic professional scenarios.
• Evaluate and annotate text data.
• Conduct quality reviews of AI outputs and professional documentation.
• Maintain consistency across repeated review tasks.
• Collaborate remotely with other professionals.
• Uphold ethical standards through careful analysis and constructive critique.

Requirements

The strongest candidates bring relevant professional experience in software engineering, finance, data science, legal work, or another related field. You should be comfortable working with complex professional documents and applying expert judgment to unfamiliar or evolving scenarios.

• Professional expertise in software engineering, finance, data science, legal work, or another relevant domain.
• A strong record of producing or reviewing complex professional documents.
• Fluent written English and the ability to communicate nuanced analytical feedback.
• Strong critical thinking, analytical judgment, and attention to detail.
• Ability to assess AI-generated responses for accuracy, logic, and alignment with professional best practices.
• Ability to follow detailed project instructions and adapt to evolving requirements.
• Ability to work independently in a remote environment.
• Ethical judgment when conducting careful, potentially high-stakes review work.
• Experience with data annotation, prompt engineering, or AI output evaluation is helpful but not essential.

Who Should Apply

This opportunity is well suited to professionals who want to apply their existing expertise to cutting-edge AI development. You do not need prior AI-training experience if you can analyze complex material, recognize high-quality work in your field, and explain your conclusions in clear written English.

The flexible part-time structure can fit around other professional, academic, or personal commitments while giving you a way to develop practical experience in AI model evaluation and human feedback.

• Professionals with strong domain knowledge and high standards for written work.
• Careful reviewers who enjoy comparing outputs against explicit criteria.
• Independent contributors who can manage detailed tasks remotely.
• Analytical communicators interested in helping AI systems perform more reliably.

Build Your AI Training Career with OpenTrain

OpenTrain gives contributors a place to manage AI training opportunities, showcase relevant experience, and build a lasting portfolio. As you complete work in model evaluation and data labeling, your profile can help demonstrate your capabilities and support continued growth in this expanding industry.

• Create an OpenTrain account for free.
• Build a profile around your professional expertise and AI-training experience.
• Discover projects that match your skills and apply in minutes.
• Develop a portfolio in model evaluation, human feedback, and data annotation.