1

Text Annotation Jobs in California (NOW HIRING)

Experience working with large datasets, annotation tools, and model evaluation pipelines ... Ability to interpret unstructured data (text, transcripts, user sessions) and derive meaningful ...

... text, and 3D. We combine exabyte-scale data infrastructure, novel multimodal understanding ... Source, onboard, and manage a distributed human workforce for data annotation, curation, and ...

Data Solutions Engineer

Mountain View, CA · On-site

$136K - $163K/yr

... text, reasoning, and multimodal domains • Troubleshoot dataset quality issues and identify ... annotation, and OTS datasets. Founded in 2021, the company is headquartered in Palo Alto, USA, with ...

Data Solutions Engineer

Mountain View, CA · On-site

$136K - $163K/yr

... text, reasoning, and multimodal domains • Troubleshoot dataset quality issues and identify ... annotation, and OTS datasets. Founded in 2021, the company is headquartered in Palo Alto, USA, with ...

Data Solutions Engineer

Mountain View, CA · On-site

$136K - $163K/yr

... text, reasoning, and multimodal domains • Troubleshoot dataset quality issues and identify ... annotation, and OTS datasets. Founded in 2021, the company is headquartered in Palo Alto, USA, with ...

Senior Data Engineer / Data Curator

San Jose, CA · On-site

$124K - $168K/yr

... data annotation tools and platforms for manual or semi-automated labeling. • Experience with NLP data formats, such as JSONL, text, or embeddings, and an understanding of tokenization. • ...

Experience working with large datasets, annotation tools, and model evaluation pipelines ... Ability to interpret unstructured data (text, transcripts, user sessions) and derive meaningful ...

... text report mining, and more! We are currently hiring both full-time and interns to join our R&D ... Provide insights to data collection and annotation and collaborate with the data team for in-house ...

... text report mining, and more! We are currently hiring both full-time and interns to join our R&D ... Provide insights to data collection and annotation and collaborate with the data team for in-house ...

next page

Showing results 1-20

Text Annotation information

What are typical day-to-day responsibilities for someone working in text annotation?

Text Annotation professionals spend much of their day reading and labeling text data according to specific guidelines, ensuring that information is correctly categorized and flagged. This can involve highlighting entities, identifying sentiments, tagging parts of speech, or annotating complex relationships within text documents. They frequently collaborate with project managers, data scientists, and quality assurance teams to clarify instructions and maintain data consistency. The role often involves independent work, but regular check-ins and feedback sessions help maintain accuracy and enhance understanding of evolving annotation requirements. This combination of independent and collaborative tasks makes the position dynamic and integral to successful AI or NLP project outcomes.

Are data annotations still hiring?

Data annotation roles, including those for text annotation, are still in demand as companies continue to develop AI and machine learning models. These jobs often require attention to detail and familiarity with annotation tools, and they can be available as remote or part-time positions. Hiring trends depend on industry needs and project pipelines, but opportunities remain consistent in this field.

What is a text annotation job?

A text annotation job involves labeling or tagging parts of text data to help train machine learning models, especially in natural language processing tasks. Workers typically review text and add labels such as entities, sentiments, or categories using specialized tools, often working remotely with flexible schedules.

What are the key skills and qualifications needed to thrive in the Text Annotation position, and why are they important?

Strong language proficiency, attention to detail, and critical thinking are essential skills for succeeding as a Text Annotation specialist, often supported by a bachelor's degree in linguistics, computer science, or a related field. Familiarity with annotation tools like Labelbox, Prodigy, or the Amazon Mechanical Turk platform, as well as knowledge of data privacy and handling protocols, is typically required. Excellent communication, self-motivation, and the ability to focus on repetitive tasks help individuals excel in this position. These capabilities ensure high-quality, consistent data labeling for machine learning models, supporting the development of cutting-edge AI solutions.

Is data annotation a legit job?

Data annotation is a legitimate job that involves labeling data such as images, text, or audio to help train machine learning models. It often requires attention to detail and familiarity with annotation tools, and it can be performed remotely or in-office. Many companies hire data annotators as part of their AI development teams.

What is a Text Annotation job?

A Text Annotation job involves labeling and categorizing text data to help train machine learning models. Annotators add tags, metadata, or classifications to text, enabling AI systems to understand language patterns. This work is essential for applications like chatbots, search engines, and sentiment analysis. Strong attention to detail and language proficiency are key skills for this role.

What qualifications do you need to be a data annotator?

To be a data annotator, basic qualifications typically include a high school diploma or equivalent, strong attention to detail, and good reading and comprehension skills. Familiarity with annotation tools and the ability to follow specific guidelines are also important, while prior experience or knowledge in the relevant domain can be beneficial but is not always required.
What are the most commonly searched types of Text Annotation jobs in California? The most popular types of Text Annotation jobs in California are:
What are popular job titles related to Text Annotation jobs in California? For Text Annotation jobs in California, the most frequently searched job titles are:
What job categories do people searching Text Annotation jobs in California look for? The top searched job categories for Text Annotation jobs in California are:
What cities in California are hiring for Text Annotation jobs? Cities in California with the most Text Annotation job openings:
Infographic showing various Text Annotation job openings in California as of July 2026, with employment types broken down into 17% Locum Tenens, 41% Full Time, 34% Part Time, 2% Contract, and 6% Nights. Highlights an 56% Physical, 1% Hybrid, and 43% Remote job distribution.
Engineering Manager, Data for Applied AI Models

Engineering Manager, Data for Applied AI Models

Apple

Cupertino, CA • On-site

Full-time

Re-posted 28 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 670 frontline employees who took The Breakroom Quiz

5th of 30 rated technology retailers


Job description

Join the team redefining what a deeply personal and integrated assistant can be.
As part of the Siri organization, you will help shape one of the world's most widely used AI assistants, powered by our next-generation of Apple Intelligence, with capabilities like personal context understanding and on-screen awareness, built with privacy from the ground up. Your work will have direct, meaningful impact for users across iOS, iPadOS, macOS, watchOS, and visionOS.
This is a rare opportunity to build at the intersection of cutting-edge AI and human-centered design, shipping technology that is centered around users and their needs.
As our Data lead, you will help craft the future of on-device AI by developing powerful yet compact LLMs that bring personalized, private, and low-latency experiences to users. This is a high-impact role for a hands-on technical leader who thrives at the intersection of cutting-edge AI development and product delivery.
Description
We are seeking a deeply technical manager to lead our Data team. You will be responsible for understanding and drafting requirements, developing annotation tools and workflows, and managing the delivery and quality of data. The Data team is an immediate partner to our applied ML team, jointly responsible for developing and shipping production models at Apple scale. The huge importance of data on product quality makes this a high-impact role - your deliverables will be used to train and evaluate the models we ship. You will use a mix of human annotation and generative AI techniques to deliver high-quality data for each task. You'll collaborate closely with researchers, software engineers, and product teams to move ideas from prototypes to production. This includes innovative ways to produce scalable, efficient, and accurate data pipelines that leverage the latest AI has to offer.
In this role, you will manage, lead, and inspire a team of highly talented and experienced engineers. You will have strong technical, communication, and people management skills and be responsible for the team's technical direction and execution. Our team values rapid iteration and delivering impactful results. The ideal candidate will have a passion for detail, getting things done, and delivering high-quality outcomes.
Minimum Qualifications
Master's or PhD in Computer Science, Machine Learning Engineering, or equivalent professional experience.
5+ years of hands-on industry experience and a proven track record of shipping ML-powered products or features, ideally involving LLMs. Extensive experience with the ML development loop with a focus on data and annotations.
Strong leadership and team management skills, as a manager or tech-lead manager.
Proficiency in Python.
Excellent communication, interpersonal, and presentation skills.
Preferred Qualifications
Experience creating data for multi-modal foundation models that integrate text, vision and/or audio.
Experience developing AI agents capable of planning and tool use tasks using generative AI techniques.
Experience developing ML systems for natural language understanding, visual understanding or digital assistants.
Understanding of the latest generative AI development techniques.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Apple logo

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