CUA Data Annotation Quality Analyst

About OpenTrain

OpenTrain AI is the hiring and contracting organization for this role and the #1 platform for finding and building careers in AI training and data labeling. Create a free account, build your professional profile, and apply in minutes to work shaping the next generation of artificial intelligence.

About AI Training and Data Annotation

AI training is the human side of building modern artificial intelligence. People review, label, and evaluate examples so AI systems can learn to understand information and produce better results. Quality analysts play a critical role by helping annotation teams apply consistent standards across complex datasets.

This is remote work that can offer flexible opportunities in a fast-growing technology field. Contributors work directly on how advanced AI systems are developed, including Computer-Using Agent projects that help models interact with software applications.

The Role

OpenTrain AI is seeking a CUA Data Annotation Quality Analyst to support a Computer-Using Agent data annotation initiative. You will use your knowledge of annotation workflows and quality assurance to review labeled data, train and mentor annotators, enforce project standards, and improve operational processes.

This is a worldwide contractor opportunity conducted in English. The project requires 40 hours per week and is scheduled to last two weeks.

• Role type: Contractor and part-time
• Work arrangement: Remote and worldwide
• Language: English
• Schedule: 40 hours per week
• Duration: 2 weeks
• Experience level: Entry level

What You'll Do

You will help maintain reliable annotation quality while supporting annotators through onboarding, calibration, feedback, and continuous learning. You will also partner with QA leads and project managers to address unclear cases and strengthen the workflow.

• Review annotated data through periodic evaluations for adherence to project standards, quality metrics, and SLAs.
• Provide actionable feedback to annotators and manage calibration exercises and pilot runs.
• Train, mentor, and onboard data annotators on CUA guidelines, workflows, and learning programs.
• Create and maintain training materials, annotation guidelines, SOPs, and process documentation.
• Identify process gaps and recommend workflow enhancements.
• Resolve edge cases and rubric ambiguities with QA leads and project managers.

Requirements

Successful candidates should be comfortable working with detailed procedures, reviewing annotation decisions carefully, and communicating precise guidance in writing. The role requires direct experience with Computer-Using Agent projects, data labeling initiatives, and annotation team training or mentoring.

• Proven experience working on Computer-Using Agent projects.
• Strong understanding of data annotation workflows, quality metrics, and human-in-the-loop AI operations.
• Experience training or mentoring data annotation teams.
• Ability to follow and enforce detailed annotation guidelines and SOPs.
• Ability to follow step-by-step documentation and navigate complex software applications.
• Excellent written communication for SOP and guideline drafting.
• Strong problem-solving skills and meticulous attention to detail.
• Ability to maintain strict confidentiality and follow data-handling protocols.
• Bachelor's degree or equivalent practical experience is helpful.

Who Should Apply

This opportunity is suited to detail-oriented professionals who understand how annotation teams work and can turn project standards into clear, repeatable practices. It may be a strong fit for someone with CUA project experience who enjoys quality review, coaching, documentation, and process improvement.

• Data annotation quality analysts
• Annotation team leads and mentors
• Data labeling specialists with CUA experience
• AI training operations professionals
• Careful reviewers who are confident applying detailed rubrics

How to Apply Through OpenTrain

OpenTrain helps people start and grow careers in AI training and data labeling. Create a free OpenTrain account, complete your profile, and apply to this opportunity in minutes. Your work can contribute to the quality and reliability of cutting-edge AI systems.

• Create a free OpenTrain account.
• Highlight your CUA, data annotation, QA, training, and documentation experience.
• Confirm your availability for 40 hours per week over the two-week project.
• Apply remotely from anywhere in the world.