AIML - Linguistic Annotation Engineer, Safety & Red Teaming

Key Skills

Aartificial intelligence, Effective communication skills, Generative AI, Large Language Models - LLMs, Machine learning techniques

Job Description

Apple Intelligence is powered by high quality, detailed linguistic annotations. This role is instrumental in coordinating and documenting annotation projects with human annotators, data scientists, and machine learning engineers. Responsibilities include:

• Working with red teaming engineers to develop and create red teaming project strategies, interfaces, and guidelines

• Relaying and interpreting project guidelines and instructions for red teamers and annotators

• Serving as an interface for feedback and questions from red teamers and annotators back to data scientists

• Prioritizing and scheduling projects to align with organizational goals and timelines

• Working with data scientist and red teaming engineers to distill findings into recommendations for product engineering teams

• Monitoring and managing individual annotator performance metrics (accuracy, throughput, etc.) while providing feedback and guidance for improvement

Minimum Qualifications

• Prior experience in linguistic annotation tasks including: Named-entity recognition, part-of-speech tagging, constituency parsing, dependency parsing, or application-specific natural language parsing
• Strong understanding of English language (linguistics, syntax, grammar) and its applications to Natural Language Processing
• Experience working on crowd-based annotations projects
• Experience developing, implementing, and communicating a sophisticated ontology or taxonomy system
• Project management expertise: Ability to collaborate with team members to prioritize competing projects, set and maintain a schedule for milestones and project completions, communicate with all levels of engineers, in-house annotators, and remote/crowd-workers
• Work with highly-sensitive content with exposure to offensive and controversial content

Preferred Qualifications

• BS, MS, or PhD in Linguistics or similar field and 2+ years experience as linguistic annotator
• Prior Teaching experience
• Experience interacting with LLMs (even if just for fun) and up-to-date knowledge of the kinds of issues that can occur with LLMs
• Curiosity about fairness and bias in generative AI systems, and a strong desire to help make the technology more equitable
• Curiosity about tech and the way in which things can go wrong