OpenTrain AI is hiring an AI Output Reviewer for a remote, part-time contractor role focused on evaluating and annotating AI-generated text outputs. This intermediate-level position is ideal for candidates with a background in quality assurance, content moderation, trust and safety, or structured review work — offering $50 per hour for 20+ hours per week from anywhere in the United States.
About OpenTrain
OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. We help people discover projects, build a unified AI-training portfolio, and grow sustainable freelance careers in the human side of AI.
OpenTrain is hiring this role directly: when you work here you join a distributed team focused on rigorous, high-quality human review that makes modern AI systems safer and more reliable.
About AI Training Work
AI training (data labeling / annotation / human feedback) is the human work behind how models learn. Tasks include evaluating model outputs, rating responses, and flagging errors so downstream training improves.
This field is fast-growing and well-suited to flexible, part-time work. Many contributors work remotely, follow structured guidelines, and build growing portfolios of annotation experience.
- Work that directly shapes how AI systems behave
- Usually flexible and accessible work that rewards attention to detail
- Great entry point for people with QA, trust & safety, or reviewer backgrounds
The Role
We are recruiting an AI Output Reviewer to evaluate and annotate text outputs used in advanced AI training pipelines. This is precision-heavy review across high-volume batches where consistency and accuracy matter.
This is a part-time contractor role requiring 20+ hours per week. Pay is $50 USD per hour. Candidates must be located in the United States and fluent in English.
- Employment type: Contractor, Part-time
- Time requirement: 20+ hours/week
- Location: United States (remote/distributed)
- Pay: $50/hour (PAY_PER_HOUR)
What You'll Do
You will review AI-generated text, apply detailed guidelines, and produce structured feedback and labels that downstream trainers and models use. The work focuses on spotting subtle errors, inconsistencies, and ambiguous cases.
- Review AI outputs with extreme attention to detail
- Evaluate and annotate responses using complex guidelines
- Assign evaluation ratings and classification labels to text
- Identify subtle errors, inconsistencies, and edge cases
- Provide clear, structured written feedback that improves training
- Flag unclear instructions and ambiguous examples proactively
Requirements
You must have prior experience performing review, rating, or annotation work in human data or AI training pipelines, and be comfortable following nuanced guidelines precisely. Strong written reasoning and sustained focus during repetitive batches are essential.
- Prior experience as a reviewer, rater, or contributor in AI/data pipelines
- Comfort applying complex guidelines consistently and without deviation
- Strong written communication and clear reasoning for feedback
- High reliability, consistency, and accuracy across long task batches
- Helpful background: QA, operations, trust & safety, or structured review roles
- Language: English (required)
Who Should Apply
This role is a great fit for people with hands-on experience in human review workflows who enjoy detail-focused, impact-driven work. If you have experience in QA, content moderation, trust & safety, or as a search/rating rater, you'll find your skills transfer well.
We welcome intermediate-level candidates who can demonstrate past review work and a dependable approach to following rules and producing clear written rationale.
- Intermediate-level experience in annotation or structured review
- You prefer batch work with tight accuracy standards
- You can commit to 20+ hours per week as a contractor
How It Works
Apply through OpenTrain (creating an account is free). If selected, you'll receive access to task batches, detailed guidelines, and the annotation interface. Work is paid hourly at the stated rate and managed on a contractor basis.
The work centers on text data and uses evaluation-rating and classification label types. Expect repetitive, guideline-driven workflows where accuracy and clear feedback are the main performance signals.
- Data type: Text
- Label types: Evaluation Rating, Classification
- Onboarding includes guideline training and quality checks
- Payment model: Hourly contractor pay at $50/hr
Job details
- Location: 100% remote, United States
- Pay: Hourly · $50/hr
- Languages: English
- Schedule: Part-time · Flexible
- Experience: Intermediate level
- Specialization: Generative AI & RLHF
- Data type: Text
- Label types: Evaluation Rating, Classification
- Posted: Jul 21, 2026
