Software QA AI Evaluation Engineer

About OpenTrain

OpenTrain AI is the #1 platform for finding and building careers in AI training and data labeling. OpenTrain helps contributors discover projects, build a credible portfolio, and apply to specialized opportunities in a fast-growing field. Creating an OpenTrain account is free.

• Remote contractor opportunity
• Worldwide availability
• Part-time engagement
• Hourly rate of $90-$175 USD

About AI Training Work

AI training is the human side of building artificial intelligence. Contributors review model outputs, assess accuracy and relevance, write structured feedback, and prepare examples that help AI systems improve. In this role, your software quality expertise will help evaluate technical responses and strengthen how AI models perform in software testing contexts.

• Work directly with human-in-the-loop AI evaluation
• Apply professional QA judgment to model-generated technical content
• Contribute to clearer evaluation standards for software testing

The Role

OpenTrain is recruiting a Software QA AI Evaluation Engineer to assess AI-generated technical outputs and improve quality standards used in software testing and model evaluation. You will judge whether technical answers are accurate, complete, and aligned with defined rubrics while identifying subtle defects and explaining findings precisely.

This is an intermediate-level, remote contractor role requiring 20+ hours per week. A degree is not required; demonstrable testing experience, structured defect reporting skills, and the ability to assess technical content for accuracy and completeness are valued.

• Employment type: Contractor and part time
• Data type: Text
• Primary activity: Evaluation and rating
• Language: English
• Experience level: Intermediate

What You'll Do

You will combine hands-on software QA experience with rubric-based AI evaluation. Your work will include judging technical responses, designing test scenarios, reviewing documentation, isolating defects, and delivering feedback that project teams can use without clarification.

• Evaluate and rate AI-generated technical responses against quality criteria and structured rubrics
• Design functional, regression, negative, boundary, and other edge-case test scenarios
• Review bug reports and test documentation for reproducibility, completeness, and appropriate severity
• Isolate defects and document exact reproduction steps through structured tracking mechanisms
• Provide actionable written feedback and annotations for developers
• Collaborate with project teams to improve evaluation guidelines, testing standards, and QA methodologies

Required Qualifications

You should have professional experience as a QA Engineer, SDET, Test Engineer, QA Analyst, or in a similar software quality role. The role requires strong knowledge of test case design, bug tracking, regression testing, and manual and automated testing strategies.

Prior paid human-data experience is required, including annotation, labeling, RLHF, AI response evaluation, model evaluation, or rubric-based grading for AI training. You must also be able to communicate complex findings and specific corrective feedback in clear written English at B2 level or above.

• Professional software QA experience covering functional, regression, negative, boundary, and edge-case testing
• Ability to assess AI-generated technical outputs for accuracy, completeness, and rubric alignment
• Practical experience with defect reproduction, severity assessment, and structured bug tracking
• Strong analytical and problem-solving ability
• Meticulous attention to detail
• Clear written English at B2 level or above
• Reliable internet access

Tools and Helpful Experience

Practical familiarity with automation or test management tools is expected. Relevant tools include Selenium, Playwright, Cypress, Appium, Postman, Jira, TestRail, Zephyr, and BrowserStack. Experience with one or more of these tools can support structured testing and defect evaluation.

• Automation tools: Selenium, Playwright, Cypress, Appium, or BrowserStack
• API testing: Postman
• Defect and test management: Jira, TestRail, or Zephyr
• A degree is not required

Build Your AI Training Career

AI evaluation and data-labeling work gives specialists a way to apply their expertise to cutting-edge systems while working remotely and choosing flexible opportunities. OpenTrain provides one place to build a profile, demonstrate relevant experience, discover projects that match your skills, and grow a long-term AI training portfolio.

• Create a free OpenTrain account
• Showcase your software QA and AI evaluation experience
• Find remote opportunities aligned with your expertise
• Apply through OpenTrain and continue building your professional portfolio