About this role
QA Engineer
Bayt AI Training Jobs, by AI Training Partner
2 hours ago 2026/12/15
·Application closes in 59 days
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Job description
Role Title: QA Engineer
Role Type: Contractor
Location: Remote
micro1 is engaging QA Engineers to contribute to an AI training project with a forward-thinking customer. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. This opportunity is ideal for those passionate about quality assurance and eager to be at the forefront of AI innovation, with a focus on data integrity, annotation, and comprehensive model evaluation.
Scope of Work
- Design, execute, and document test cases and scenarios to validate AI outputs against defined requirements.
- Review, annotate, and label data sets to enhance machine learning model training accuracy.
- Evaluate, analyze, and report on model predictions, identifying inconsistencies, errors, or patterns for continuous improvement.
- Collaborate with cross-functional teams to communicate findings, raise questions, and clarify project requirements.
- Contribute to the development and refinement of testing methodologies specific to AI-driven systems.
- Maintain detailed, organized records of evaluations, test results, and feedback through written documentation.
- Provide actionable recommendations to optimize data quality and model performance.
Preferred Qualifications
- Hands-on expertise in software quality assurance, with a strong understanding of test planning and defect reporting.
- Prior experience with data labeling, annotation, reinforcement learning from human feedback (RLHF), or model evaluation.
- Proficiency in English at B2 level or above for effective collaboration and reporting.
Skills
-
software quality assurance, test case design, test execution, defect reporting, data annotation, data labeling, ai model evaluation, documentation, english communication, cross-functional collaboration
-
This job post has been translated by AI and may contain minor differences or errors.
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Easy Apply
-
Email to Friend
-
Complete Questionnaire
-
-
Attach a Cover Letter
-
-
Email to Friend
-
-
Send Me Similar Jobs
-
Send Me Similar Jobs
-
-
Save
-
-
Follow This Company
-
-
Unfollow This Company
-
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Print
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Report this job
-
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Share
-
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Email
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Messenger
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WhatsApp
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WhatsApp
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-
X
-
-
Facebook
-
United States
-
Remote
-
100 Open Positions
-
Contractor
-
500 Employees or more · Scientific Research & Development
-
Get the Bayt App
-
Download the Bayt App to manage your real time conversation with the recruiter
-
Download App
-
Create a job alert for similar positions
-
Job description
-
Role Title: QA Engineer
-
Role Type: Contractor
-
Location: Remote
-
micro1 is engaging QA Engineers to contribute to an AI training project with a forward-thinking customer. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. This opportunity is ideal for those passionate about quality assurance and eager to be at the forefront of AI innovation, with a focus on data integrity, annotation, and comprehensive model evaluation.
-
Scope of Work
-
Design, execute, and document test cases and scenarios to validate AI outputs against defined requirements.
-
Review, annotate, and label data sets to enhance machine learning model training accuracy.
-
Evaluate, analyze, and report on model predictions, identifying inconsistencies, errors, or patterns for continuous improvement.
-
Collaborate with cross-functional teams to communicate findings, raise questions, and clarify project requirements.
-
Contribute to the development and refinement of testing methodologies specific to AI-driven systems.
-
Maintain detailed, organized records of evaluations, test results, and feedback through written documentation.
-
Provide actionable recommendations to optimize data quality and model performance.
-
Preferred Qualifications
-
Hands-on expertise in software quality assurance, with a strong understanding of test planning and defect reporting.
-
Prior experience with data labeling, annotation, reinforcement learning from human feedback (RLHF), or model evaluation.
-
Proficiency in English at B2 level or above for effective collaboration and reporting.
Skills
-
software quality assurance, test case design, test execution, defect reporting, data annotation, data labeling, ai model evaluation, documentation, english communication, cross-functional collaboration
-
This job post has been translated by AI and may contain minor differences or errors.
-
Easy Apply
-
Email to Friend
-
Complete Questionnaire
-
-
Attach a Cover Letter
-
-
Email to Friend
-
-
Send Me Similar Jobs
-
Send Me Similar Jobs
-
-
Save
-
-
Follow This Company
-
-
Unfollow This Company
-
-
Print
-
-
Report this job
-
-
-
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