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Language Data Annotation Jobs (NOW HIRING)

We are looking for Language Data Annotators to support the improvement of AI-generated content in ... quality assurance, and data annotation and labeling. What We Offer * Flexible schedule

We are looking for Language Data Annotators to support the improvement of AI-generated content in ... quality assurance, and data annotation and labeling. What We Offer * Flexible schedule

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Language Data Annotation information

What are some typical challenges faced by language data annotators, and how can they be managed?

Language data annotators often encounter challenges such as handling ambiguous text, maintaining consistency across large datasets, and meeting tight deadlines. Ambiguity can arise from slang, idioms, or context-dependent meanings, requiring annotators to use clear guidelines and sometimes consult with team leads or linguists. Consistency is managed through regular calibration meetings and quality checks. Collaborating closely with team members and leveraging annotation tools also helps streamline workflows and uphold high-quality standards.

What are the key skills and qualifications needed to thrive as a Language Data Annotator, and why are they important?

To thrive as a Language Data Annotator, you need strong linguistic skills, attention to detail, and familiarity with language structures, often supported by a background in linguistics or a related field. Experience with annotation tools, text labeling platforms, and sometimes scripting languages like Python is typically required. Excellent communication, critical thinking, and the ability to follow complex guidelines help annotators produce high-quality, consistent data. These skills ensure that annotated datasets are accurate and reliable, which is crucial for developing effective natural language processing models.

What is Language Data Annotation?

Language Data Annotation is the process of labeling or tagging linguistic data such as text, audio, or video with relevant information to make it understandable for machines. This often involves tasks like tagging parts of speech, identifying named entities, or transcribing spoken words. The annotated data is then used to train, validate, and test language models and other AI systems, improving their ability to understand and process human language. Language data annotators play a crucial role in developing technologies like chatbots, voice assistants, and translation services.

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

AspectLanguage Data AnnotationData Labeling Specialist
Primary FocusAnnotating language data such as text, speech, and transcriptsLabeling various data types including images, videos, and audio
Skills RequiredLanguage proficiency, linguistic knowledge, annotation toolsGeneral labeling tools, data understanding, attention to detail
Work EnvironmentData annotation platforms, remote or office-basedData labeling platforms, remote or office-based
Industry UsageNatural language processing, speech recognition, AI trainingComputer vision, autonomous vehicles, AI datasets

Language Data Annotation specialists focus on preparing language-related data for AI models, emphasizing linguistic accuracy. Data Labeling Specialists work across various data types, including images and videos, to help train machine learning algorithms. While both roles involve data annotation, their specific focus and skill sets differ based on data type and application.

Infographic showing various Language Data Annotation job openings in the United States as of June 2026, with employment types broken down into 47% Full Time, 7% Part Time, and 46% Contract. Highlights an 60% In-person, and 40% 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

$141K - $258K/yr

Full-time

Medical, Dental, Retirement

Posted 25 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