Data Annotation and AI Training Reviewer

About Open Train

Open Train AI is the hiring and contracting organization for this role. Open Train is the #1 platform for finding and building careers in AI training and data labeling, helping people discover projects, build a professional profile, and apply in minutes.

Creating an Open Train account is free, making it easier to start and grow a career in the rapidly expanding field of AI training.

AI training is the human side of building artificial intelligence. People review and prepare examples that help modern AI systems understand information, evaluate outputs, and improve their performance.

In this role, your careful decisions will contribute to datasets used to train and assess AI systems. The work is remote and offers a way to gain practical experience in a cutting-edge technology industry.

Open Train AI is seeking a detail-oriented Data Annotation and AI Training Reviewer to support data review and annotation projects. You will evaluate, classify, label, and validate text content according to detailed project guidelines.

This is an entry-level, part-time contractor opportunity for candidates currently based in the United States. The expected time commitment is 20 or more hours per week.

• Engagement type:
  Part-time contractor
• Experience level:
  Entry level
• Location:
  
  United States
• Expected commitment: 20+ hours per week
• Primary language:
  English
• Data type:
  Text

You will work independently in a remote environment while applying project rules consistently and meeting assigned productivity and quality targets. Strong judgment and careful documentation will help maintain reliable datasets.

• Review, label, classify, and validate data according to project guidelines.
• Maintain accuracy, consistency, and quality across assigned tasks.
• Identify edge cases, discrepancies, and annotation issues.
• Escalate issues when appropriate.
• Perform quality checks on completed work.
• Provide clear, constructive feedback.
• Meet productivity and quality targets while working independently.

Candidates must be currently based in the United States and have strong English reading, writing, and comprehension skills. A bachelor's degree or current undergraduate study in a relevant field is requested, though equivalent experience may also qualify.

Professional writing experience is required. Relevant backgrounds may include business analysis, research analysis, copywriting, journalism, technical writing, editing, or translation.

• Currently based in the United States.
• Bachelor's degree or undergraduate study in Engineering, Literature, Journalism, Communications, Arts, Statistics, or a related field, or equivalent experience.
• Experience writing professionally.
• Understanding of Excel and Google Suite.
• Excellent attention to detail and analytical abilities.
• Ability to interpret guidelines and apply them consistently.
• Good communication and collaboration skills.
• Self-motivated approach and ability to work independently.
• Desktop or laptop with a reliable internet connection.

Previous experience in data annotation, content review, quality assurance, or similar work is preferred but not required. Familiarity with AI or machine learning data projects can be helpful.

• Data annotation, content review, or quality assurance experience.
• Data interpretation, logical reasoning, and basic arithmetic skills.
• Familiarity with AI or machine learning data projects.
• Strong problem-solving ability.
• Ability to make consistent, objective decisions.

AI training and data labeling are among the fastest-growing ways to work in technology. Contributors help shape how AI systems process information and behave, while developing experience in a field that spans language, analysis, evaluation, and quality assurance.

Many AI training projects are remote and flexible, making this work possible alongside studies, another job, or family responsibilities. This position offers a practical entry point for professionals who bring strong writing and analytical skills.