Senior Localization Quality and Automation Specialist (Remote in Canada)

{"Design and Implement the Quality Framework: Define, select, and manage the right suite of quality tools (e.g., automated QA checks, linguistic sign-off workflows, error categorization) to measure and ensure the linguistic quality of all localized assets.","Establish Key Metrics: Identify and implement industry-standard metrics (e.g., DQF, MQM, BLEU, TER, etc.) to objectively measure the output quality of our Machine Translation (MT) models.","Drive Process Automation: Analyze the current localization workflow to identify bottlenecks, then select or build custom tools and scripts to automate repetitive tasks, focusing on QA, handoffs, and feedback loops.","Bridge Technology and Linguistics: Act as the primary liaison between the Localization team and the Machine Learning teams. You will translate linguistic quality data into technical feedback, helping technical teams to understand specific error patterns to continuously train and improve the performance of the MT models.","Data Analysis and Reporting: Regularly analyze quality data, generate reports, and present actionable insights to stakeholders on the performance of our localization processes and MT engines.","Tool Management: Evaluate the existing Localization Tool Stack (CAT tools, TMS, QA checkers) for potential integration with new technologies."}