QA Engineer (Remote) | $90–175/Hour | Project-Based
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PROJECT DETAILS
This project is designed for QA Engineers and related software testing specialists who can apply established quality assurance practices to AI system evaluation. The work includes functional testing, regression testing, edge-case analysis, bug documentation, and assessment of AI-generated technical outputs.
The position is remote and offered on a contractor basis. No specific contract duration, fixed weekly hours, or country restriction is provided, so applicants should confirm these details during onboarding. Explore more remote WFA jobs for additional work-from-anywhere opportunities.
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JOB INFORMATION
- Responsibilities: Evaluate AI-generated technical responses against quality criteria; design and assess functional, regression, negative, boundary, and edge-case tests; review bug reports and testing documentation; reproduce and document defects; provide actionable written feedback; and contribute to improving evaluation guidelines.
- Qualifications: Professional experience as a QA Engineer, SDET, Test Engineer, QA Analyst, or in a similar software quality role. Practical testing experience is valued, and no formal degree is required.
- Technical Skills: Quality assurance, software testing, test case design, regression testing, manual and automated testing, bug tracking, test management, defect reporting, and automation frameworks.
- Language and Schedule: Strong written English at B2 level or above is required. The position is remote; a reliable internet connection and readiness to begin promptly are expected.
- Contract Type: Contractor.
The stated compensation range is $90–$175 per hour. The opportunity has 30 openings. No payment cycle or specific payment method is provided, so applicants should confirm those details during the application or onboarding process.
Who Should Apply
This role is suited to experienced QA professionals who are comfortable designing thorough test cases, investigating software defects, and communicating findings clearly in written English.
Applicants with previous paid experience in AI response evaluation, human data annotation, RLHF, model evaluation, or rubric-based grading may have relevant experience, although such background is not required.
Professionals exploring AI Training Jobs can also review related opportunities available through RemoteWFAJobs.
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- Review the role requirements and confirm that your professional QA experience matches the project needs.
- Prepare relevant information about your software testing, automation, defect tracking, and quality assurance experience.
- Submit your application using the APPLY HERE button and confirm project details during the hiring process.
Is previous AI training experience required for this remote QA Engineer job?
No. Previous AI training, annotation, RLHF, or model evaluation experience is considered a plus but is not required.
Is a formal degree necessary for the QA Engineer position?
No formal degree is required. The role emphasizes practical and demonstrable software testing experience.
How many openings are available?
There are 30 contractor openings for this remote QA Engineer opportunity.
CLOSING
This project offers experienced QA professionals an opportunity to apply software quality assurance skills to technical and AI system evaluation work. The role emphasizes structured testing, accurate defect identification, and clear written feedback.
For more opportunities, browse RemoteWFAJobs remote positions and explore the available AI Training Jobs.
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