Title: Content Producer II

Location: 3 Infinite Loop, IL03, Cupertino CA 95014

Duration: 6 Months

Schedule: Hybrid (3 days/week)

Job Description:

• Native-level fluency in English for Canadian market, with exceptional written and verbal communication skills
• Linguistic/cultural skills: expert knowledge of grammar, spelling, and cultural appropriateness to accurately represent Canadian user experience and ensure content aligns with local cultural and linguistic norms
• Ability to work cross-functionally with Design, Product, Editorial, Safety and Engineering teams to deliver quality results on time. Collaborate with cross functional teams to precisely define the evaluation requirements necessary for Machine Learning/ Large Language Models implementation across different projects.
• Ensure data quality is maintained at high standards and continually enhance processes based on both quantitative and qualitative feedback
• Responsibilities may include, but are not limited to: evaluating content, researching and verifying accuracy of relevant metadata pertaining to different media types.
• Quality assurance reviewing, verifying, editing, scoring, transcribing, copywriting, and reporting on data and/or assets across a broad scope of media and content types.
• Problem solving, provide clear suggestion/feedback to leads, and effectively communicate recommendations to both editorial and engineering teams.
• Leverage established workflows and tooling for various content tasks. Collaborate and follow guidance from the Project Lead, Style Guides, and Terminology Databases on all matters related to the Apple style and project requirements.
• Experience in Large Language Models and knowledge about LLM evaluation techniques, such as human evaluation and automated benchmarks is desirable.
• Conduct research with humans to validate and create automated benchmarks for LLM evaluations. Collect data from human participants (e.g., surveys, experiments) with knowledge about data quality, data validity, etc.
• Advanced degree in linguistics, computer science, machine learning, cognitive science, psychology, economics, or similar (preferred).