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Data Annotation Job Jobs (NOW HIRING)

As a Data Annotation Specialist on safety task, you will: * Evaluate and improve model safety: Label, rank, audit, and refine human- and model-generated text to improve safety, quality, and policy ...

Network Engineer - Data for Autonomous Systems annotation Type: Contract Compensation: $50-$70/hour Location: Remote Commitment: 30-40 hours/week Role Responsibilities * Review real-world data from ...

Oversee data annotation projects, translating complex AI and machine learning requirements into clear workflows and instructions for data annotation teams * Ensure the highest standards of data ...

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Data Annotation Job information

What is the difference between Data Annotation Job vs Data Labeling Specialist?

AspectData Annotation JobData Labeling Specialist
CredentialsBasic computer skills, attention to detailSimilar credentials, often with experience in labeling tools
Work EnvironmentRemote or on-site, tech companies, AI/ML projectsSimilar environments, often in AI/ML data teams
Industry UsageUsed across AI, machine learning, autonomous vehiclesPrimarily in AI/ML data preparation
Search & Comparison IntentCommonly compared for entry-level data workOften searched as a related role in data preparation

Data Annotation Jobs and Data Labeling Specialists are closely related roles in AI and machine learning industries. Both involve preparing data for model training, often using similar tools and environments. The main difference lies in terminology and specific job descriptions, but they generally require comparable skills and are used interchangeably in many companies. Understanding these similarities helps job seekers identify suitable opportunities in data preparation fields.

Infographic showing various Data Annotation Job job openings in the United States as of May 2026, with employment types broken down into 3% Locum Tenens, 41% Part Time, and 56% Contract. Highlights an 80% Physical, 3% Hybrid, and 17% Remote job distribution.
Data Scientist - Survey Design, Data Annotation, and Machine Learning Evaluation

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

Apple

Cupertino, CA

$141.80K - $258.60K/yr

Full-time

Medical, Dental, Retirement

Posted 8 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

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
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
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
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.

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976