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Label Studio Jobs in California (NOW HIRING)

HumanSignal

Director of Finance

San Francisco, CA

About the Role We're hiring a Director of Finance to own the financial backbone of HumanSignal, the company behind Label Studio. Reporting directly to the CEO, you'll own financial planning, business ...

HumanSignal

Training Specialist

San Francisco, CA · On-site

$60K - $125K/yr

Our work spans RLHF, evals, red-teaming, and custom multimodal data creation, all powered by Label Studio Enterprise and built on a foundation of rigorous quality workflows, ethical sourcing, and ...

HumanSignal

Marketing Intern

San Francisco, CA · Hybrid

$20 - $25/hr

We design and create datasets from scratch, recruit and manage the domain experts who evaluate model output, and run everything through our own platform, Label Studio, the open-source standard for ...

New

HumanSignal

Operations Associate

San Francisco, CA

$70K - $90K/yr

Our work spans RLHF, evals, red-teaming, and custom multimodal data creation, all powered by Label Studio Enterprise and built on a foundation of rigorous quality workflows, ethical sourcing, and ...

Chapman University

Costume Studio Technician

Orange, CA

$21.50 - $25/hr

Organize costumes prior to fittings- track and receive purchases and label any rental items * With ... Communicate with Costume Studio regarding any missed fittings or necessary secondary fittings- with ...

Chapman University

Costume Studio Technician

Orange, CA · On-site

$21.50 - $25/hr

Organize costumes prior to fittings- track and receive purchases and label any rental items * With ... Communicate with Costume Studio regarding any missed fittings or necessary secondary fittings- with ...

HumanSignal

Delivery Lead

San Francisco, CA

$110K - $140K/yr

Our work spans RLHF, evals, red-teaming, and custom multimodal data creation, all powered by Label Studio Enterprise and built on a foundation of rigorous quality workflows, ethical sourcing, and ...

HumanSignal

Strategic Projects Lead

San Francisco, CA · On-site

$75K - $110K/yr

Our work spans RLHF, evals, red-teaming, and custom multimodal data creation, all powered by Label Studio Enterprise and built on a foundation of rigorous quality workflows, ethical sourcing, and ...

FS Studio

Robot Teleoperator

San Mateo, CA · On-site

As a Robot Teleoperator , you will join FS Studio in partnership with cutting-edge tech clients ... Execute precise manipulation tasks to collect, label, organize, and upload high-quality datasets ...

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Showing results 21-40

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Label Studio information

What are common challenges faced when working as a Label Studio annotator, and how can they be addressed?

One frequent challenge in a Label Studio role is ensuring consistent and accurate data annotation, especially when dealing with ambiguous or complex data. Annotators often need to interpret guidelines carefully and collaborate closely with team members to resolve uncertainties. Regular communication with project managers, participation in calibration sessions, and thorough review of annotation instructions can help maintain high-quality output. Additionally, using Label Studio’s built-in collaboration and review features streamlines feedback and quality control, making it easier to address inconsistencies as a team.

What skills and qualifications are needed to work as a Label Studio data annotation specialist?

To excel as a Label Studio Data Annotation Specialist, you need a solid understanding of data labeling concepts, attention to detail, and experience with data annotation processes, often supported by familiarity with machine learning workflows. Proficiency in using the Label Studio platform, knowledge of data formats like JSON and CSV, and occasionally scripting skills in Python are valuable technical assets. Strong communication, teamwork, and problem-solving abilities help you interpret guidelines and collaborate with data science teams. These skills ensure high-quality, consistent labeled data, which is critical for training accurate machine learning models.

What is Label Studio?

Label Studio is an open-source data labeling tool that enables users to annotate various types of data, including images, text, audio, and videos. It is widely used for preparing training datasets for machine learning and artificial intelligence applications. Label Studio supports customizable labeling interfaces, collaborative annotation workflows, and integrates easily with other data science tools. Its flexibility and extensibility make it a popular choice for both individual researchers and enterprise teams.

What is the difference between Label Studio vs Data Annotator?

AspectLabel StudioData Annotator
Required CredentialsBasic technical skills, familiarity with annotation toolsTypically high school diploma or equivalent, on-the-job training
Work EnvironmentSoftware platform, remote or on-siteOffice or remote, depending on employer
Industry UsageData labeling for AI/ML projects across various industriesData annotation tasks within organizations or outsourcing firms
Common Search IntentTools for data labeling, annotation softwareJob roles in data annotation, entry-level labeling jobs

Label Studio is a versatile data labeling tool used by professionals to create training data for AI models, while Data Annotator refers to the role of performing data labeling tasks, often as an entry-level position. Both are integral to AI development, but Label Studio is a software platform, whereas Data Annotator is a job role.

What are popular job titles related to Label Studio jobs in California? For Label Studio jobs in California, the most frequently searched job titles are:
What job categories do people searching Label Studio jobs in California look for? The top searched job categories for Label Studio jobs in California are:
What cities in California are hiring for Label Studio jobs? Cities in California with the most Label Studio job openings:
Label Studio jobs near you
Infographic showing various Label Studio job openings in California as of August 2026, with employment types broken down into 45% Full Time, 41% Part Time, and 14% Contract. Highlights an 86% In-person, and 14% Remote job distribution.

Senior Manager of Quality Assurance, AIML Data Operations

Apple

Cupertino, CA • On-site

Full-time

Re-posted 23 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences - quickly.
The AIML team is looking for a passionate, detail-obsessed Senior Manager of Quality Assurance to lead the QA function within our Data Annotation operations. This is a rare opportunity to directly shape the quality standards that underpin the intelligent systems used by hundreds of millions of people every day.
You will lead a team of QA professionals, define and defend data quality standards, and champion a culture of rigorous, scalable quality assurance across global annotation workflows. If you thrive at the intersection of operational excellence, data quality, and cross-functional leadership - this role was built for you.
Description
As Senior Manager of QA for Data Annotation, you will own the end-to-end quality assurance strategy for annotation pipelines that feed directly into Apple's AI and machine learning models. You will partner closely with Data Science, Engineering, and Operations leadership to ensure that data quality is not an afterthought - it is a foundation.
You will manage and develop a team of QA specialists and leads, set clear quality metrics, and build scalable processes that grow with our annotation programs. Your decisions will have measurable, real-world impact on the performance of Apple Intelligence products.
Minimum Qualifications
Bachelor's degree in a relevant field (Computer Science, Linguistics, Data Science, Operations, or equivalent)
8+ years of experience in quality assurance, data operations, or a related field
10+ years of people management experience leading QA or data operations teams
Demonstrated experience defining and operating QA programs for data annotation or content labeling at scale
Solid understanding of AIML concepts, with practical knowledge of how data quality affects model performance
Strong analytical skills with experience using data to measure, communicate, and drive quality improvements
Professional fluency in English; excellent written and verbal communication skills across all levels of an organization
Ability to travel internationally when required
Preferred Qualifications
Master's degree or advanced certification in a relevant discipline
Experience with annotation platforms and QA tooling (e.g., Label Studio, Scale AI, Surge, Toloka, or similar)
Familiarity with inter-annotator agreement methodologies (Cohen's Kappa, Krippendorff's Alpha, etc.)
Experience managing QA for multilingual or multimodal annotation datasets
Track record of building or scaling QA programs in a globally distributed, vendor-augmented operating model
Passion for Apple Intelligence products and a deep appreciation for the role of data quality in user experience
Experience with statistical sampling techniques and quality auditing frameworks
Familiarity with RLHF (Reinforcement Learning from Human Feedback) data workflows

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

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