QA Engineer AI Evaluation Specialist

About OpenTrain

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

Creating an OpenTrain account is free. In this role, your professional QA expertise will contribute directly to the development of next-generation AI systems.

• Remote contractor position
• Worldwide opportunity
• Expected project duration of 3 to 6 months
• Hourly pay range of $90 to $175 USD

About AI Training and Evaluation

AI training is the human side of building artificial intelligence. People evaluate model responses, annotate information, and provide structured feedback so AI systems can become more accurate, useful, and reliable.

This project focuses on text-based evaluation and RLHF-style work. Your QA judgment will help identify outputs that appear correct but contain inaccuracies, omissions, or other quality problems.

• Evaluate and rate AI-generated technical outputs
• Apply defined quality criteria and rubrics
• Support model evaluation and human-feedback workflows
• Help shape how AI systems learn, reason, and perform

The Role

As a QA Engineer, you will combine professional software quality assurance expertise with prior paid experience in human data annotation, RLHF, AI response evaluation, model evaluation, or rubric-based grading. You will assess AI-generated technical outputs and software-testing materials with precision.

Software QA experience alone does not meet the project requirement. Candidates must also have prior paid experience supporting AI training through human-in-the-loop evaluation or annotation.

• Role type: Contractor
• Experience level: Expert
• Work format: Remote
• Working language: English
• Hourly rate: $90 to $175 USD

What You’ll Do

• Evaluate and rate AI-generated technical outputs against defined criteria and rubrics.
• Identify answers that may seem correct but are inaccurate, incomplete, or otherwise deficient.
• Design and assess test cases for functional, regression, edge-case, negative, and boundary scenarios.
• Review bug reports and test documentation for reproducibility, completeness, and appropriate severity.
• Identify, isolate, and document defects with precise reproduction steps using structured tracking mechanisms.
• Provide detailed, actionable written feedback and annotations that developers can use without further clarification.
• Collaborate with project teams to refine evaluation guidelines and improve testing standards and methodologies.

Required Qualifications

You should have strong practical experience in software quality assurance and a demonstrated ability to evaluate technical work against clear standards. No formal degree is required; practical, demonstrable testing experience takes precedence.

Fluent written English is required. The project also requires a reliable internet connection and readiness to begin promptly.

• Professional experience as a QA Engineer, SDET, Test Engineer, QA Analyst, or similar
• Strong knowledge of test case design, bug tracking, regression testing, and manual and automated testing
• Prior paid experience with human data annotation, labeling, RLHF, AI response evaluation, model evaluation, or rubric-based grading
• Experience with text-labeling workflows and evaluation-rating tasks
• Software quality assurance and AI evaluation subject matter expertise
• Excellent analytical and problem-solving skills with meticulous attention to detail
• Ability to communicate complex findings clearly in written English at B2 level or above
• Reliable internet connection and readiness to begin promptly

Tools and Testing Experience

Hands-on experience with automation frameworks and test management tools is preferred. Familiarity with the tools below, or comparable tools, can support the testing and documentation work required for the project.

• Selenium
• Playwright
• Cypress
• Appium
• Postman
• Jira
• TestRail
• Zephyr
• BrowserStack

Why Work in AI Training

AI training is a fast-growing field that connects specialized professional knowledge with cutting-edge technology. QA experts can use their existing skills to influence how modern AI systems handle accuracy, completeness, reasoning, and technical quality.

Remote AI training projects can offer flexible work that fits around other commitments, while giving experienced specialists a direct role in improving the behavior of advanced AI models.

• Work remotely from anywhere with an internet connection
• Apply software QA expertise to emerging AI systems
• Use structured evaluation and feedback to influence model quality
• Join a growing field at the intersection of technology and human expertise

Apply Through OpenTrain

Create a free OpenTrain account to build your profile and apply for this contractor opportunity. Highlight your software QA background, automation and testing experience, and paid human-data or AI-evaluation work so your qualifications are clear.

• Showcase your QA and testing experience
• Include relevant AI evaluation, RLHF, annotation, or labeling experience
• Confirm fluent English proficiency
• Apply remotely through OpenTrain