AI Data Annotation and Content Review Specialist

About OpenTrain

OpenTrain AI is hiring and contracting for remote AI training and data-labeling work. OpenTrain is the #1 platform for finding and building careers in AI training, helping contributors discover projects, build a professional profile, and grow experience in a fast-moving technology industry.

• Create a free OpenTrain account and apply in minutes
• Build a profile that showcases your AI training and data-labeling experience
• Find opportunities that match your skills and professional background

About AI Training and Data Annotation

AI systems learn from examples prepared and reviewed by people. Data annotation and content review specialists help create reliable training and evaluation datasets by applying clear rules, identifying inconsistencies, and making careful judgments about real-world content.

• Contribute to the development and improvement of modern AI models
• Work remotely with a computer, approved software, and an internet connection
• Build practical experience in a rapidly growing area of technology

The Role

OpenTrain is recruiting an AI Data Annotation and Content Review Specialist for a remote assignment supporting AI model development and improvement. You will evaluate, classify, label, and validate assigned content against detailed project guidelines.

The work combines careful review, quality control, edge-case identification, and objective decision-making. This is an independent contractor, part-time assignment for freelancers based in the United States, requiring 20 or more hours per week and regular overlap with Pacific Standard Time.

• Employment type: Independent contractor and part-time
• Location: Remote, United States
• Time commitment: 20+ hours per week
• Language: English
• Data type: Text
• Primary task: Classification

What You’ll Do

You will help maintain accurate, consistent datasets used to train and assess AI systems. Success in this role requires following project instructions carefully, documenting decisions clearly, and maintaining dependable quality while working independently.

• Review, label, classify, and validate assigned data
• Apply project guidelines consistently across a range of content
• Check datasets for accuracy, consistency, and quality
• Identify discrepancies, edge cases, and annotation issues
• Escalate issues appropriately when guidelines do not clearly resolve a case
• Perform quality checks and provide clear, constructive feedback
• Meet productivity and quality targets in a remote environment

Required Skills and Qualifications

Strong English reading, writing, and comprehension skills are required because the work involves detailed content review and guideline interpretation. You should be comfortable making objective decisions, applying standards consistently, and communicating clearly about annotation questions or quality issues.

• Strong English reading, writing, and comprehension
• Excellent attention to detail
• Analytical thinking and problem-solving ability
• Ability to interpret and consistently apply detailed guidelines
• Ability to make objective decisions about edge cases
• Clear written communication
• Familiarity with Excel and Google Suite
• Desktop or laptop with a reliable internet connection

Helpful Background

Professional experience in business analysis, research analysis, copywriting, journalism, technical writing, editing, or translation is valuable. Prior work in data annotation, content review, quality assurance, or AI and machine learning data projects is preferred, and equivalent experience is welcome.

A degree or undergraduate study in engineering, literature, journalism, communications, arts, statistics, or a related field may be helpful. Familiarity with data interpretation, logical reasoning, and basic arithmetic is also beneficial.

• Experience with data annotation or content review
• Quality assurance experience
• Exposure to AI or machine learning data projects
• Professional writing, editing, journalism, or analysis experience
• Degree or undergraduate study in a relevant field, or equivalent experience
• Understanding of data interpretation, logical reasoning, and basic arithmetic

Why Build Your AI Training Career With OpenTrain

AI training is a flexible way to work at the human side of artificial intelligence. Contributors review and prepare the examples that help modern models learn, making this work a practical entry point into a fast-growing technology field.

OpenTrain helps you manage your AI training career in one place. As you gain experience, your profile can help you present credible work, discover relevant opportunities, and develop a durable professional portfolio.

• Remote work for contributors based in the United States
• Part-time scheduling with a 20+ hour weekly commitment
• Direct experience supporting AI model development and evaluation
• A profile and portfolio you can continue building through OpenTrain

How to Apply

Create a free account on OpenTrain, complete your profile, and apply for this assignment in minutes. Highlight your English communication skills, relevant writing or analytical experience, attention to detail, and familiarity with annotation or quality-review work.

• Confirm that you are based in the United States
• Make sure you can commit to 20+ hours per week
• Be prepared for regular overlap with Pacific Standard Time
• Showcase relevant experience with content review, analysis, writing, or data annotation