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Data Scientist - Survey Design, Data Annotation, and Machine Learning Evaluation

Cupertino, California, United StatesMachine Learning and AI

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Summary

Posted: Apr 22, 2026

Role Number:200659168-0836

Apple is where individual imaginations gather together, committing to the values that lead to
great work. Every new product we build, service we create, or experience we deliver is the
result of us making each other’s ideas stronger. The diversity of our people and their thinking
inspires the innovation that runs through everything we do. When we bring everybody in, we
can do the best work of our lives. Here, you’ll do more than join something — you’ll add
something.

Description

The Special Projects team at Apple is developing novel user-facing conversational features that
leverage the multimodal capabilities of state-of-the-art foundation models. As part of this
process, we generate real-world and simulated data, gather human data annotations, analyze
the results, and use them to build and evaluate Large Language Model judges. We are looking
for a skilled Data Scientist to join our Machine Learning Evaluations teams. This person will
work closely with ML Engineers to manage and analyze our human and automated data
annotation processes, and to develop, test, and refine LLM judges for generative AI model
evaluation. A successful candidate is experienced in survey design, data annotation, LLM
prompt engineering and prompt optimization, and has strong statistical analysis skills.

Responsibilities

• Work closely with ML Engineers to understand data annotation needs
• Design and manage data annotation processes, including the development of user
• instructions, annotation pipeline processing, and process improvement
• Develop LLM auto-judges and judging criteria for generative AI model evaluation
• Analyze collected data annotations to assess and refine LLM auto-judges

Minimum Qualifications

• BA or Master’s degree in Data Science, Statistics, or a quantitative social science field
• 2+ years of hands-on experience working in survey design and human data annotation
• Proficiency in Python
• Excellent communication skills

Preferred Qualifications

• PhD in Data Science, Statistics, or a quantitative social science field
• Hands-on industry experience with product-focused statistical analysis
• Experience working with large-scale multimodal data and data-annotation pipelines
• Experience with LLM prompt engineering & prompt optimization
• Experience with LLM auto-judges for generative AI model evaluation
• A track record of publications or technical presentations in Data Science or a related field
• Excellent at cross-functional collaboration

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 $141,800 and $258,600, 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.

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.

Apple accepts applications to this posting on an ongoing basis.

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