Join OpenTrain AI to improve text datasets used to train and evaluate modern language models. This part-time contractor role requires 20+ hours/week, strong English, careful attention to detail, and the ability to follow detailed guidelines and escalate edge cases.
Generative AI & RLHF
Remote
1 country
Eligibility
Intermediate
Experience
Jul 17, 2026
Posted
Open to applicants in
United States
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OpenTrain is the #1 platform for people building careers in AI training and data labeling. We help contributors find projects, build a consistent portfolio, and grow a durable freelance career working on the human side of AI.
OpenTrain AI is the hiring and contracting organization for this role. We connect skilled annotators and reviewers with remote, flexible work that directly shapes how AI systems behave.
Centralized platform for AI training and data-labeling careers
Support for portfolio-building and long-term freelance growth
Remote, flexible projects across many data types and specialties
Why AI Training Work Matters
AI models learn from examples prepared and reviewed by people: annotating, validating, and rating data so models learn the right behaviors. This work is central to building safe, useful AI and is one of the fastest-growing ways to work in tech.
Many projects are remote and flexible, making them a great fit for part-time contributors, students, and people who want to work around other commitments while doing cutting-edge work.
Contribute directly to how models are trained and evaluated
Role Overview
As a Data Review and Annotation Analyst you will improve AI model training and assessment datasets by labeling, classifying, validating, and reviewing text data according to detailed project guidelines.
This is a part-time contractor role requiring at least 20 hours per week, fluent English, and the ability to meet productivity and quality targets while working independently from a reliable desktop or laptop with internet access.
Employment type: Contractor, Part-time
Time requirement: 20+ hours per week
Location: United States only (remote)
Data type: Text; primary tasks: classification and evaluation/rating
What You'll Do
You will follow project-specific instructions to label and validate text data, check for consistency and accuracy, and identify problematic or ambiguous examples. Clear, concise feedback and timely escalation of annotation issues are important parts of the job.
Review, label, classify, and validate text data for model training and assessment
Check accuracy and consistency across assigned tasks and datasets
Identify edge cases, ambiguous examples, and annotation errors
Provide clear feedback and escalate quality problems when needed
Work independently while meeting productivity and quality targets
Requirements
Candidates must demonstrate strong English reading, writing, and comprehension, excellent attention to detail, and the ability to interpret and apply detailed guidelines consistently. Good communication and collaboration skills are required for escalating and resolving issues.
You must have a reliable desktop or laptop with internet access and be self-motivated to work remotely to meet assigned targets.
Fluent English (reading, writing, comprehension)
Attention to detail and strong analytical thinking
Ability to apply detailed project guidelines consistently
Good communication and collaboration skills
Reliable internet-connected desktop or laptop
Helpful Background
Prior experience in data annotation, content review, or quality assurance is helpful but not required if you can demonstrate the required skills. Familiarity with AI or machine learning projects and basic proficiency with Google Workspace or Microsoft Office are advantages.
This role is classified as Intermediate: you should be comfortable working with some autonomy and handling edge cases with judgment.
Experience reviewing, labeling, or validating data for AI projects
Familiarity with AI/ML datasets and annotation conventions
Comfort using Google Workspace or Microsoft Office
How to Apply
If this role matches your skills and schedule, apply through the OpenTrain system and complete any required onboarding tasks and qualification tests. Applications should emphasize relevant annotation or QA experience and your ability to work 20+ hours/week.
OpenTrain AI is the hiring and contracting organization for this role and will provide project guidelines, training resources, and the channels for communication and escalation during the contract.
Prepare a brief summary of relevant annotation or QA experience
Be ready to complete a short qualification task or test
Applicants must be located in the United States and able to commit 20+ hours/week
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