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Label Studio Jobs in California (NOW HIRING)

HumanSignal

Operations Associate

San Francisco, CA · On-site

$70K - $90K/yr

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 ...

HumanSignal

Operations Associate

San Francisco, CA · On-site

$70K - $90K/yr

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 ...

HumanSignal

Director of Finance

San Francisco, CA · On-site

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 ...

HumanSignal

Training Specialist

San Francisco, CA · On-site

$60K - $125K/yr

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 ...

HumanSignal

Director of Finance

San Francisco, CA

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 ...

HumanSignal

Training Specialist

San Francisco, CA

$60K - $125K/yr

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 ...

HumanSignal

Delivery Lead

San Francisco, CA · On-site

$110K - $140K/yr

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 ...

HumanSignal

Delivery Lead

San Francisco, CA · Remote

$110K - $140K/yr

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 ...

HumanSignal

High Volume (TOFU) Recruiter

San Francisco, CA · On-site +1

$55K - $100K/yr

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 ...

HumanSignal

Strategic Projects Lead

San Francisco, CA · On-site

$75K - $110K/yr

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 ...

HumanSignal

Strategic Projects Lead

San Francisco, CA · Remote

$75K - $110K/yr

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 ...

HumanSignal

Technical Program Manager

San Francisco, CA · On-site

$152K - $196K/yr

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 ...

HumanSignal

Technical Program Manager

San Francisco, CA · On-site

$152K - $196K/yr

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 ...

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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.

Operations Associate

HumanSignal

San Francisco, CA • On-site

$70K - $90K/yr

Full-time

Re-posted 12 days ago

Job description

About HumanSignal
Real-world data is the competitive edge in AI.
HumanSignal is a human data partner for companies building AI models and products. Our customers ship better AI, faster, because we partner with their researchers from real-world data creation to annotation to delivery.
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 data labeling and evaluation, used by over 1 million practitioners worldwide.
We specialize in the operationally complex: real-world data collection, multimodal pipelines, and multi-step workflows. Advanced ML and AI teams use our enterprise platform to run their own data factories, and our services team to extend their reach where in-house capacity runs out.
If you want to do work that materially shapes how the next generation of AI products gets built, we'd love to talk.
Level: Individual Contributor
Compensation: $70,000 - $90,000
Location: San Francisco, CA
About the Role
HumanSignal specializes in operationally complex, multimodal data collection and annotation - delivering the datasets that frontier AI research requires and remote workforce marketplaces can't. We own projects end-to-end, from scoping and protocol design through final delivery, running on-site and distributed expert workforces across 50+ knowledge domains, 30+ languages, and 75+ countries. 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 full data security. This role sits at the operational core of that delivery engine - responsible for ensuring our clients get the highest-quality data on time, every time.
This role is not for everyone. HumanSignal Services operates at the intersection of frontier AI research and large-scale human data delivery - and the work is fast, demanding, and unforgiving of dropped balls. You'll own complex, high-stakes data programs end-to-end, managing expert workforces, navigating shifting customer requirements, and holding quality and delivery timelines simultaneously. There is no playbook handed to you. You will build it, break it, and rebuild it better. If you thrive under pressure, take personal pride in operational excellence, and don't quit when a project gets hard - this is the role for you
What You'll Do
The day-to-day is intense by design. You'll juggle multiple programs at once, each with its own contributors, quality standards, and customer expectations. You'll make hard calls with incomplete information, hold contributors and vendors accountable, and find creative solutions to problems that don't have obvious answers. The expectation is simple: own the outcome, no excuses. High performers here grow faster than anywhere else in the industry. The bar is high - and that's the point.
What You'll Do
  • Build and drive critical operational processes to meet day-to-day customer delivery commitments
  • Manage daily operations across multiple Fellow or contributor programs, including onboarding, workflow coordination, and ongoing program health
  • Maintain operational trackers and documentation to ensure consistent execution and follow-through across the team
  • Monitor contributor engagement and flag retention or performance risks before they become delivery issues
  • Create an effective feedback loop between frontline operations, product, strategy, and customers
  • Identify recurring bottlenecks and recommend process improvements; run pilots and experiments to test solutions
  • Collaborate with SPLs, TPMs, Customer Operations, and Product teams to improve processes for new and existing customers
Required Qualifications
  • 2+ years of experience in an operational role or top-tier consulting firm
  • Undergraduate degree in an analytics-heavy field (Engineering, Economics, or related)
  • Action-oriented; balances creative problem-solving with scrappy execution
  • Strong analytical and process-improvement capability
  • Proficiency in SQL or demonstrated analytical tooling skills
Preferred Qualifications
  • Experience in marketplace, logistics, or workforce platform operations
  • Familiarity with tools like Zendesk, Notion, or Airtable
  • Exposure to AI/ML workflows, data annotation, or contributor management
  • Entrepreneurial mindset; comfortable in fast-moving, ambiguous environments

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