Linguistic Annotation Specialist for AI Safety

2 weeks ago

Seattle, Washington, United States Apple Full time

Position Overview:

Role Identifier:

Are you interested in contributing to the evolution of cutting-edge generative AI technologies at Apple? We are seeking skilled data scientists and engineers to engage in groundbreaking initiatives that will shape the future of our products and the industry at large.

In this position, you will have the chance to address challenging issues in machine learning, with a particular emphasis on large language models (LLMs).

As part of the Apple HCMI/Responsible AI team, you will be involved in developing Apple's generative models that will enable a variety of innovative features, alongside long-term research in the generative AI domain.

Our current focus is on extensive generative models for both vision and language, especially concerning safety, robustness, and uncertainty within these models.

Role Responsibilities:

  • Collaborating with red teaming engineers to devise and implement project strategies, interfaces, and guidelines
  • Communicating and clarifying project guidelines and instructions for red team members and annotators
  • Acting as a liaison for feedback and inquiries from red team members and annotators back to data scientists
  • Prioritizing and scheduling projects to align with organizational objectives and timelines
  • Partnering with data scientists and red teaming engineers to translate findings into actionable recommendations for product engineering teams
  • Tracking and managing individual annotator performance metrics (accuracy, throughput, etc.) while providing constructive feedback and guidance for enhancement
Minimum Qualifications:
  • Proven experience in linguistic annotation tasks such as named entity recognition, part-of-speech tagging, constituency parsing, dependency parsing, or application-specific natural language parsing
  • Strong grasp of the English language (linguistics, syntax, grammar) and its applications in Natural Language Processing
  • Experience in crowd-based annotation projects
  • Background in developing, implementing, and articulating a comprehensive ontology or taxonomy system
  • Project management skills: Ability to work collaboratively with team members to prioritize competing projects, establish and maintain schedules for milestones and project completions, and communicate effectively with engineers, in-house annotators, and remote/crowd workers
Preferred Qualifications:
  • BS, MS, or PhD in Linguistics or a related field with 2+ years of experience as a linguistic annotator
  • Prior teaching experience
  • Familiarity with LLMs and current knowledge of potential issues associated with them
  • Interest in fairness and bias in generative AI systems, along with a strong desire to contribute to equitable technology
  • Enthusiasm for technology and an understanding of potential pitfalls
Compensation & Benefits:

At Apple, base salary is just one component of our comprehensive compensation package, which is determined within a specified range. This allows for growth as you develop within your role. The base salary range for this position is between $166,600 and $296,300, depending on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become shareholders through participation in our discretionary employee stock programs. Employees are eligible for discretionary restricted stock unit awards and can purchase Apple stock at a discount through the Employee Stock Purchase Plan.


Additional Benefits:

Employees receive comprehensive medical and dental coverage, retirement benefits, a variety of discounted products and free services, and reimbursement for certain educational expenses related to career advancement at Apple, including tuition.

This role may also be eligible for discretionary bonuses or commission payments as well as relocation assistance. Learn more about Apple Benefits.

Equal Opportunity Statement:

Apple is an equal opportunity employer 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.

Learn more about your EEO rights as an applicant.

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