Note: The job is a remote job and is open to candidates in USA. Innoventrics is hiring a Quality Assurance Engineer for an AI training project. The role involves testing AI outputs, annotating and evaluating data and model predictions, documenting findings, and recommending improvements to data quality and model performance.
Responsibilities
- 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
Skills
- No prior experience in AI is required — your domain knowledge is what matters
- 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
Benefits
- 100% Remote
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