Hebrew Speaker - AI Trainer
Invisible Technologies
Quality Manager
Invisible Technologies Inc.
full-time
Posted on:
Origin: • 🇺🇸 United States
Visit company websiteSalary
💰 $108,000 - $147,300 per year
Job Level
Mid-LevelSenior
Tech Stack
AWS
About the role
- Ensure AI training and multilingual data operations maintain the highest standards of accuracy, consistency, cultural relevance, and linguistic excellence.
- Act as a quality guardian across enterprise delivery programs, including human-in-the-loop (HITL) workflows and advanced multilingual data generation processes.
- Partner with Operations Managers, project leads, and client stakeholders to define and implement robust quality assurance protocols.
- Conduct proactive QA audits and root-cause analyses to drive performance improvements and maintain client trust and satisfaction.
- Work closely with Delivery, Product, Engineering, and Customer Success teams to address quality concerns and build preventive measures.
- Identify process inefficiencies or gaps and streamline operations to improve delivery accuracy and speed.
- Generate regular reports and insights on delivery performance trends, multilingual QA activities, and recommendations to leadership.
- Develop and implement comprehensive QA frameworks for large-scale AI data and multilingual delivery workflows.
- Evaluate and implement QA tools and automation frameworks to streamline quality checks and reduce manual errors.
Requirements
- Bachelor's degree in Operations Management, Engineering, Computer Science, Linguistics, or related field.
- Proven expertise in language QA concepts and workflows, including linguistic quality assessment, cultural adaptation, and managing multilingual projects.
- 5+ years of experience in quality assurance, service delivery, or operations, preferably in a tech, localization or AI-focused environment.
- Deep understanding of delivery and multilingual lifecycles, QA methodologies, and performance metrics.
- Experience working in agile environments and using project management tools.
- Strong analytical skills with experience in data-driven decision-making.
- Familiarity with AI/ML concepts and workflows is a strong plus.
- Analytical mindset, sharp eye for detail, and passion for operational excellence.
