We are looking for a highly skilled Quality Analyst Project Coordinator to support the development of advanced AI tools for product attribution, classification and other purposes. This project focuses on creating a rich and diverse dataset of written Italian text, annotated and corrected by humans.

Responsibilities:

• Review and audit labeled datasets for both text and image-based content to ensure accuracy, consistency, and adherence to guidelines.
• Document and share feedback with the individual labelers
• Identify trends and insights in quality performance, and effectively mitigate quality performance issues. 
• Communicate quality trends and insights to the customer. Calibrate with the  customer on instructions and edge cases.
• Evaluate responses generated by AI, verifying correctness, clarity, relevance, and alignment with task instructions.
• Apply knowledge of the Consumer Packaged Goods domain to accurately classify and/or describe products.
• Collaborate with cross-functional teams to update labeling workflows and improve quality.
• Monitor performance metrics (e.g., accuracy rates, inter-rater agreement) and contribute to continuous improvement initiatives.
• Generate responses with intentional but realistic grammar, spelling, and structural errors.
• calibration sessions to align QA standards across teams and help train new reviewers or analysts.
• Adapt quickly to evolving guidelines, new task types, and AI model updates in a fast-paced, iterative environment.
• Ensure that documentation is up to date. 

Qualifications:

• English as a second language – minimum C1 English proficiency required. 
• C2 level of Italian
• Ability to follow linguistic and situational writing prompts.
• Excellent written communication and coordination skills 
• 2 years working experience in a corporate/ business environment.

Prior experience in at least one of the following:

• Linguistic QA
• Data annotation for NLP/AI projects
• ESL/EFL teaching, editing, or copyediting
• Keen eye for detail -spotting subtle grammar and structure issues others miss.
• Comfortable reviewing and providing feedback on structured data.
• Ability to give actionable and constructive feedback to annotators.
• Experience with creating and tracking timelines, milestones, and status reports is a plus.