Computational Linguist

Description

Data Generation & Management: Design, generate, and maintain high-quality datasets for entity resolution testing and evaluation; automate data generation pipelines where possible

Annotation Projects: Plan, manage, and execute annotation projects; create annotation guidelines, coordinate with annotators, ensure quality and consistency

Data Analysis: Clean, process, and analyze language data using linguistic expertise to identify patterns, edge cases, and system failures; surface insights that drive product improvements

Cross-Functional Collaboration: Work closely with Quality Engineering, UX researchers, engineers, and localization teams to ensure entity resolution meets quality standards and user needs

Localization Awareness: Work with internationalization to identify and address language-specific and cultural issues in entity resolution across different locales

Testing & Evaluation: Design systematic test cases and evaluation frameworks; analyze test results to identify linguistic patterns in failures

Documentation: Create clear, comprehensive documentation of scope, datasets, processes, findings, and recommendations for diverse audiences

Preferred Qualifications

Familiarity with version control (Git or similar)

Familiarity with conversational systems, NLP, or search systems

Experience managing or participating in annotation projects

Experience with localization or multilingual issues in language technology

Project management experience (academic or professional)

Experience working with engineers or technical teams

Minimum Qualifications

Master's degree in Linguistics, Computational Linguistics, or related field

Strong data skills: cleaning, processing, analyzing, and finding patterns in language data

Strong analytical skills: Experience with quantitative and qualitative data analyses

Coding skills (e.g. Python, R) for the purpose of data processing and analysis

3-5 years of industry experience

Experience with linguistic annotation

Excellent communication skills and ability to work cross-functionally

Strong organizational skills and documentation practices

Systematic thinking and attention to detail

Basic understanding of machine learning concepts

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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 .

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $172,100 and $305,600, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Client-provided location(s): Cupertino, CA

Job ID: apple-200650142-0836_rxr-662

Employment Type: OTHER

Posted: 2026-03-15T19:46:08