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QA Engineer
Your Software Supplier. Design, execute, and document test cases and scenarios to validate AI outputs against defined requirements .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in software quality assurance and test planning, with a strong focus on validating AI outputs and enhancing machine learning model accuracy through detailed documentation and collaboration.
Highest-signal resume keywords
Software Quality AssuranceTest PlanningDefect ReportingData AnnotationModel Evaluation
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Test Case DesignTest ExecutionTest DocumentationData LabelingModel Prediction Analysis
Soft Skills
CollaborationCommunicationAnalytical Thinking
Industry Keywords
AI-Driven SystemsMachine LearningData QualityContinuous Improvement
About the role
Key responsibilities & impact- Design, execute, and document test cases and scenarios to validate AI outputs against defined requirements
- Review, annotate, and label datasets 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
Requirements
What you’ll need- Hands-on expertise in software quality assurance
- Strong understanding of test planning and defect reporting
- Proficiency in English at B2 level or above for effective collaboration and reporting
Benefits
Comp & perks- 12-month contract
- 40 hours/week