AI Data Review & Annotation Specialist

About OpenTrain

OpenTrain is the #1 platform for people building careers in AI training and data labeling. We help contributors find projects, build a unified portfolio of AI-training work, and grow long-term freelance careers in a fast-moving field.

About AI training and data-labeling work

AI training (also called data labeling or annotation) is the human side of building intelligent systems: people create, review, and correct the examples models learn from. This work is remote, flexible, and accessible—ideal for part-time contributors who want to shape how AI behaves.

• Remote, flexible work you can do from home with a computer and internet.
• Accessible entry points—many projects require attention to detail rather than formal credentials.
• Direct impact on state-of-the-art AI systems through careful, repeatable decisions.

The role at a glance

OpenTrain AI is hiring contractor, part-time specialists to review and annotate text data used to train and improve AI models. This is a remote contractor role with an expected commitment of 20+ hours per week. Candidates must be located in the United States or Brazil and have strong English reading and writing comprehension.

• Data type: Text
• Labeling work: Classification and validation
• Employment type: Contractor, Part-time
• Time requirement: 20+ hours/week
• Languages required: English (strong reading and writing)
• Location: United States or Brazil only

What you'll do

• Review, label, classify, and validate text data according to detailed project guidelines.
• Check assigned annotations for accuracy, consistency, and quality.
• Identify discrepancies, edge cases, and annotation problems and escalate when appropriate.
• Provide clear, constructive feedback during quality checks and reviews.
• Work independently while meeting productivity and quality targets.

Requirements

• Strong English reading, writing, and comprehension skills (required).
• Excellent attention to detail and analytical thinking.
• Ability to interpret detailed instructions and apply them consistently.
• Experience with data annotation, content review, or quality assurance (preferred but not strictly required).
• Self-motivated, able to work independently and meet deadlines and quality standards.
• A desktop or laptop with a reliable internet connection.

Helpful background and who should apply

This role suits people with prior annotation, moderation, or QA experience as well as careful, methodical contributors new to the field who can follow detailed guidelines. Familiarity with AI or machine-learning projects and basic productivity tools (Google Workspace or Microsoft Office) is helpful.

• Prior data-labeling or content-review experience speeds onboarding.
• Comfort with objective decision-making and spotting subtle edge cases.
• Basic familiarity with Google Workspace or Microsoft Office is useful.