QA Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a QA Engineer based in Canada. Join a remote, international team as a QA Engineer and help improve the reliability and performance of AI-driven systems. In this role, you will design and execute structured tests, assess model outputs, and identify opportunities to improve accuracy and data quality. You will contribute to the development of testing methods tailored to artificial intelligence applications while ensuring that results are carefully documented and actionable. Working with cross-functional teams, you will help clarify requirements, communicate findings, and support continuous improvement. This opportunity is ideal for a quality assurance professional who combines strong testing fundamentals with analytical thinking and a keen eye for detail. Accountabilities: As a QA Engineer, you will validate AI outputs, evaluate data quality, and provide actionable insights to strengthen model performance. Your main responsibilities will include: - Design, execute, and document test cases and scenarios to validate AI-generated outputs against defined requirements. - Review, annotate, and label datasets to improve the accuracy and quality of machine learning model training. - Evaluate and analyze model predictions to identify inconsistencies, errors, and recurring patterns. - Report findings clearly and recommend improvements that enhance data quality and model performance. - Collaborate with cross-functional teams to communicate results, raise questions, and clarify project requirements. - Contribute to the development and refinement of testing methodologies for AI-driven systems.

- Maintain organized documentation of evaluations, test results, feedback, and recommendations. Requirements: The ideal candidate has hands-on software quality assurance experience, a solid understanding of testing practices, and the communication skills needed to collaborate effectively in a remote environment. The following qualifications are expected: - Practical experience in software quality assurance, including test planning and defect reporting. - Strong analytical skills and attention to detail when reviewing test results, datasets, and model predictions. - Ability to identify inconsistencies, investigate issues, and communicate findings clearly. - Proficiency in English at B2 level or above to support collaboration and written reporting. - Strong written documentation skills and the ability to work independently while coordinating with cross-functional teams. Benefits: - Competitive hourly compensation: $63–$120 per hour. - Remote flexibility: Work remotely from eligible locations worldwide, subject to project requirements. - Contract type: Freelance / independent contractor. - Contract duration: 12 months. - Working hours: 40 hours per week. - Start date: As soon as possible. - International collaboration: Contribute to AI quality initiatives alongside cross-functional teams.