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Apple AIML - Linguistic Annotation Engineer Safety & Red Teaming United Kingdom, England, Cambridge 393203092
13.08.2024
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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:- Prioritizing and scheduling projects to align with organizational goals and timelines - 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
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
Additional Requirements
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.
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