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Project Based Recruitment | QA Engineer | $90–$175/Hour | Remote

A new project-based QA Engineer opportunity is available for experienced quality assurance professionals who want to apply their software testing expertise to a high-volume technology project.

The project focuses on evaluating software-related outputs, designing comprehensive test scenarios, identifying defects, and providing structured feedback that can help improve next-generation AI systems.

You do not need previous AI experience to participate. The primary requirement is strong, practical experience in software quality assurance, testing, defect analysis, and test documentation.

With 30 openings available and a stated rate of $90–$175 per hour, qualified QA professionals may want to review the opportunity and register promptly.

Job Information

Position: QA Engineer
Project Type: Project-Based Contractor
Work Arrangement: Remote
Compensation: $90–$175/hour
Open Positions: 30
Education: No formal degree required
Experience: Professional QA, SDET, Test Engineer, QA Analyst, or related experience
English: B2 level or above
AI Experience: Preferred but not mandatory

Registration Link: REGISTRATION LINK HERE

What Will You Do?

The project requires experienced QA professionals who can evaluate technical outputs with accuracy and attention to detail.

Your responsibilities may include:

  • Evaluating AI-generated technical outputs against defined quality standards and evaluation rubrics.

  • Identifying responses that appear technically correct but contain inaccuracies, missing information, or logical problems.

  • Designing and reviewing functional, regression, edge-case, negative, and boundary test cases.

  • Reviewing bug reports and testing documentation for accuracy, completeness, reproducibility, and appropriate severity classification.

  • Identifying, isolating, and documenting software defects with clear reproduction steps.

  • Providing detailed written feedback that developers can understand and act on without additional clarification.

  • Working with project teams to improve testing guidelines and evaluation methodologies.

  • Applying established QA principles to help assess the quality and reliability of technical outputs.

This makes the opportunity particularly relevant to professionals searching for remote QA jobs, software testing contracts, QA engineering projects, and flexible project-based technology work.

Required QA Skills

Applicants should have strong knowledge of core software quality assurance practices, including:

  • Quality assurance

  • Software testing

  • Test case design

  • Regression testing

  • Automation testing

  • Manual testing

  • Automated testing

  • Bug tracking

  • Bug reporting

  • Defect analysis

  • Test management

  • Quality evaluation

Experience with tools and frameworks such as Selenium, Playwright, Cypress, Appium, Postman, Jira, TestRail, Zephyr, or BrowserStack can be valuable.

Experience with similar QA automation, testing, and test management technologies may also be relevant.

AI Evaluation Experience Is a Plus

Previous experience working with human data for AI training is advantageous, but it is not a mandatory requirement.

Professionals with experience in areas such as:

  • Human data annotation

  • Data labeling

  • RLHF

  • AI response evaluation

  • Model output evaluation

  • Rubric-based grading

  • AI training data quality

may find their background particularly relevant to this project.

However, experienced software QA professionals without AI-related experience can still be considered because the project primarily values practical testing knowledge and professional QA expertise.

Who Should Consider This Project?

This opportunity may be a strong fit for professionals who have worked as:

  • QA Engineer

  • Software QA Engineer

  • SDET

  • Test Engineer

  • QA Analyst

  • Software Tester

  • Automation Tester

  • Quality Assurance Analyst

It is especially relevant for professionals who understand how to create effective test cases, reproduce software defects, assess severity, perform regression testing, and communicate technical findings clearly.

A formal university degree is not required. Demonstrable practical experience in software testing and quality assurance is considered more important.

Why This Project Is Worth Reviewing

The combination of a remote contractor structure, $90–$175 hourly compensation, and an AI-related evaluation project makes this an opportunity worth examining for experienced QA professionals.

The work also goes beyond traditional bug finding. Participants are expected to apply structured QA thinking to technical evaluation, assess whether outputs actually satisfy requirements, and provide high-quality feedback.

For QA professionals interested in expanding into AI-related projects without completely changing their technical career path, this type of project can provide an opportunity to apply existing testing expertise in a growing area of technology.

Registration

Qualified QA professionals interested in this project should review the opportunity and complete the registration process as soon as possible.

Registration Link: REGISTRATION LINK HERE

Because there are 30 available openings and the project is intended for prompt onboarding, interested candidates should avoid waiting until the available positions are filled.

Final Thoughts

Project-based QA work can be an attractive option for experienced testers who want remote flexibility while continuing to use professional software quality skills.

This particular opportunity is focused on combining established QA practices with technical output evaluation for AI-related systems. Strong knowledge of manual and automated testing, test case design, regression testing, defect reporting, and analytical problem-solving can be highly relevant.

If you already have professional QA experience and are comfortable communicating technical findings in written English, this $90–$175/hour remote QA project may be worth considering.

Review the requirements carefully, prepare your professional QA experience, and register promptly if the project matches your background.

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