CUA Data Annotation Trainer for AI Projects

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. OpenTrain AI is hiring and contracting for this role, helping experienced contributors find opportunities, build a professional AI training profile, and grow their careers in a rapidly developing field.

• Work remotely from anywhere in the world
• Build experience directly connected to modern AI development
• Create a free OpenTrain account and apply in minutes

About AI Training and Data Annotation

AI systems learn from examples prepared, reviewed, and evaluated by people. Data annotation and human feedback work can include labeling information, following detailed rubrics, reviewing model-related data, and assessing quality. This human expertise helps shape how cutting-edge AI systems perform.

• Contribute to a fast-growing area of technology
• Use structured review and evaluation to improve AI training data
• Collaborate remotely with teams working on human-in-the-loop workflows

The Role

OpenTrain is recruiting a CUA Data Annotation Trainer to lead training and mentoring for an annotation team on an AI training project. You will use direct experience with Computer-Using Agent data annotation workflows to onboard annotators, document processes, enforce quality standards, and support operational improvements.

This is a fully remote, short-term contractor assignment lasting two weeks. The role requires 40 hours per week, including some overlap with the PT Time Zone for approximately four hours per day. It is a task-based contractor engagement with no medical or paid leave.

• Engagement type: Contractor and part-time
• Duration: 2 weeks
• Schedule: 40 hours per week
• Time-zone overlap: Approximately 4 hours per day with PT Time Zone
• Work location: Worldwide and fully remote
• Experience level: Intermediate

What You'll Do

You will help annotation contributors understand project expectations, apply CUA guidelines consistently, and improve their performance through structured feedback. You will also partner with quality assurance and project leadership to clarify difficult cases and refine workflows.

• Train, mentor, and onboard data annotators on CUA project guidelines and workflows
• Support continuous learning programs for annotation team members
• Create and maintain training materials, SOPs, and project-specific annotation guidelines
• Review annotated data and monitor annotator performance
• Conduct periodic quality evaluations and provide actionable feedback
• Support pilot runs, calibration exercises, and workflow enhancement initiatives
• Collaborate with QA teams and project managers to resolve edge cases and rubric ambiguities

Required Qualifications

This role requires hands-on experience with Computer-Using Agent projects and data annotation or labeling initiatives. You should be comfortable working from detailed written procedures, assessing annotation quality, and communicating precise guidance in writing.

• Direct prior experience working on Computer-Using Agent projects
• Prior experience with data annotation or labeling initiatives
• Experience training or mentoring annotation teams
• Strong ability to follow step-by-step written documentation and execute tasks precisely
• Ability to navigate a wide range of computer applications
• Strict confidentiality in handling project information
• Deep understanding of annotation quality metrics and review methodologies
• Excellent written communication skills for drafting SOPs and guidelines
• Personal computer with at least 16GB RAM
• Stable high-speed internet connection
• Windows, Linux, or macOS computer

Helpful Background

The following experience can help you succeed in this assignment, although the core requirements are your CUA annotation expertise, team-training experience, and ability to maintain rigorous quality standards.

• Bachelor's degree or equivalent practical experience in any field
• Experience in AI evaluation, content review, quality assurance, or a related analytical role
• Familiarity with AI and machine-learning human-in-the-loop workflows

How to Apply Through OpenTrain

OpenTrain makes it easier to start and grow a career in AI training by bringing opportunities into one place and helping contributors build a lasting professional profile. Create a free OpenTrain account, review the role details, and apply in minutes.

• Apply through OpenTrain for consideration
• Highlight your CUA project and annotation experience
• Showcase your training, mentoring, quality review, and SOP-writing background
• Confirm that your computer and internet setup meet the role requirements