AI Data Review and Annotation Specialist

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. Contributors use OpenTrain to discover projects, build a unified portfolio of annotation work, and grow into durable freelance careers in a fast-growing industry. We connect you to practical, remote AI training work and support contributors as they gain experience across labeling, review, and quality assurance projects. About AI training (what this work is) AI training - also called data labeling or annotation - is the human work that teaches machine learning models how to understand text, images, audio, and more. Your decisions directly shape how real-world AI systems behave. This role focuses on text classification and quality review: careful, repeatable judgments that keep training datasets accurate and consistent so models learn from high-quality examples., Turing is hiring AI Data Review and Annotation Specialists to support model development through high-quality labeling, validation, and review of text data. This is a remote, contractor, part-time role (20+ hours/week) open to applicants located in the United States or Brazil who are fluent in English.

• Employment type: Contractor, Part-time
• Time requirement: 20+ hours/week
• Eligible locations: United States and Brazil only
• Data type: Text (classification tasks)

What you’ll do day-to-day Work from detailed project guidelines to review, classify, label, and validate text data. Your work will focus on accuracy, consistency, and identifying problematic examples that could hurt model performance.

• Review, label, classify, and validate text according to project rules
• Perform quality checks on assigned work and meet productivity and quality targets
• Identify discrepancies, edge cases, and annotation issues and escalate when appropriate
• Provide clear, constructive feedback during quality reviews
• Work independently while collaborating with reviewers or project leads as needed, If selected, you’ll receive project guidelines and access to the labeling software provided by the client; training and feedback cycles help you reach required quality targets.
• Apply through OpenTrain by creating an account and submitting your application for this Turing project
• You will work with the client’s labeling tool (provided) to complete classification and review tasks
• Compensation details and onboarding steps are provided to applicants during recruitment

Candidates must meet the core skills and technical needs for reliable, high-quality annotation work.

• Strong English reading, writing, and comprehension skills (required)
• Excellent attention to detail, analytical thinking, and consistent decision-making
• Ability to interpret and apply detailed guidelines reliably
• Good communication and collaboration skills
• Self-motivated and able to work independently
• A desktop or laptop with a reliable internet connection

Helpful background and experience The following experience is valuable but not strictly required; it helps contributors move faster and take on advanced tasks.

• Prior experience in data annotation, content review, or quality assurance
• Familiarity with AI or machine learning data projects
• Basic proficiency with Google Workspace or Microsoft Office
• Strong problem-solving skills and an eye for edge cases