AI Model Reviewer, Evaluation & RLHF Specialist

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. We help people discover projects across the industry, build a unified AI training portfolio, and grow freelance careers teaching AI.

As the hiring organization for this role, OpenTrain connects expert contractors with project-based AI training work and provides the tools to contribute, document progress, and collaborate remotely.

About AI training work

AI training (also called data labeling, annotation, or human feedback) is the human side of modern AI: people create, evaluate, and refine the examples models learn from. This work is remote, flexible, and often accessible to contributors with domain knowledge or strong writing and reasoning skills.

Contributors shape how AI systems behave by rating outputs, writing prompts, producing examples, and giving nuanced feedback that informs model updates and evaluation.

The role — AI Model Reviewer (contractor)

OpenTrain is hiring AI Model Reviewers to review, critique, and generate examples for AI outputs across diverse domains. This is a remote, part-time contractor role with a time expectation of 20+ hours per week.

Work focuses on text data and includes evaluation ratings, text generation, and RLHF-style tasks. Compensation is pay-per-hour at a range of $100–$180 USD per hour (project rates vary by assignment).

• Employment type: Contractor, Part-time
• Time commitment: 20+ hours/week
• Data type: Text — label types include Evaluation Rating, Text Generation, RLHF
• Language: English; worldwide applicants accepted

What you'll do

You will evaluate model outputs, craft new examples and prompts, and write clear rationales that help teams understand model behavior and improve training data.

• Review AI outputs and generate high-quality examples aligned with training goals
• Annotate and improve datasets with precise written rationales
• Author prompts, questions, and tasks that test and challenge model reasoning
• Contribute to testing that measures model performance in realistic scenarios
• Document findings and communicate progress with project stakeholders

Requirements

You must bring specialized domain expertise plus strong written communication and attention to detail. Past experience in annotation, teaching, research, or technical writing is helpful but not mandatory.

• Specialized expertise in a domain such as science, education, law, engineering, or writing
• Ability to review and critique AI outputs with nuanced written feedback
• Comfort working independently in a remote, project-based workflow
• Strong attention to detail and clear verbal and written communication
• Experience or familiarity with data annotation, teaching, research, or technical writing

Who should apply

This role suits entry-level to experienced contributors who combine domain knowledge with careful reasoning and excellent written feedback. If you enjoy analyzing model behavior and producing clear examples that guide model improvement, you'll fit well.

• Teachers, researchers, technical writers, or practitioners in law, engineering, or education
• Anyone with experience giving structured feedback, creating assessments, or authoring technical content
• Contributors looking for flexible, remote, part-time contractor work in AI training

How the work is structured

Projects are remote and contractor-based, with contributors collaborating with peers and stakeholders to meet project guidelines. You will complete tasks that include rating outputs, writing examples and rationales, and participating in evaluation cycles.

Compensation is hourly and varies by project; the posted range is $100–$180 USD per hour. OpenTrain provides the project briefs and the frameworks you use to submit evaluations and examples.

• Work independently on tasks; communicate findings and progress to project stakeholders
• Follow project-specific guidelines for ratings, prompt-writing, and rationales
• Paid per hour at project rates within the stated range