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Label Studio Jobs (NOW HIRING)

High Volume (TOFU) Recruiter

Columbus, OH · 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 ...

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 ...

$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 ...

High Volume (TOFU) Recruiter

Austin, TX · 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 ...

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 ...

High Volume (TOFU) Recruiter

Dallas, TX · 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 ...

Key job responsibilities - Prep all inventory coming into or out of the studio, including steaming, shoe taping, preparing inventory labels, etc. - Inspect and repackage all inventory leaving and ...

Manage physical product flow within the studio including unpacking, labeling, organizing, and maintaining sample inventory * Prepare product trays and organize samples for daily shoots based on the ...

Manage physical product flow within the studio including unpacking, labeling, organizing, and maintaining sample inventory * Prepare product trays and organize samples for daily shoots based on the ...

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 ...

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 ...

Private Label Designer

Anaheim, CA · On-site

$60K - $65K/yr

... studio lighting, and photo editing ideal • Love of cooking and restaurant foodservice knowledge a definite plus! • Proficiency in copywriting a plus • US Work Authorization - no Visa ...

Studio Sample Coordinator

Beverly Hills, CA · On-site

$15 - $19.75/hr

Perform quality control checks to verify sample details, labeling, and grouping accuracy * Monitor ... Fast-paced studio and warehouse environment * Early morning shifts may be required * Frequent ...

Create Music Group is an LA-based digital music company that provides artists and labels with ... Job Summary The Create Music Group Studios Internship program was designed to give participants ...

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Showing results 1-20

Label Studio information

See salary details

$28K

$53.4K

$77.5K

How much do label studio jobs pay per year?

As of Jun 25, 2026, the average yearly pay for label studio in the United States is $53,399.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,000.00 and $60,000.00 per year, depending on experience, location, and employer.

What are some 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 are the key skills and qualifications needed to thrive as a Label Studio Data Annotation Specialist, and why are they important?

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.

More about Label Studio jobs
What cities are hiring for Label Studio jobs? Cities with the most Label Studio job openings:
What states have the most Label Studio jobs? States with the most job openings for Label Studio jobs include:

High Volume (TOFU) Recruiter

HumanSignal

Columbus, OH • On-site, Remote

$55K - $100K/yr

Full-time

Posted 27 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: $55,000 – $100,000
Location: San Francisco, CA preferred; open to other remote options

About the Role

HumanSignal Services runs on expert talent — and we need a lot of it, fast. As our high-volume recruiter, you are the engine that keeps our data programs fully staffed with the right contributors at the right time. This isn't a post-and-pray recruiting role. You'll be proactive, scrappy, and relentless — sourcing, screening, and moving candidates through a pipeline that never stops. When a program needs 500 vetted domain experts in 72 hours, you're the one who makes it happen. Speed matters here, but so does quality — the wrong contributor wastes everyone's time and hurts the data. You'll own both.


What You'll Do

You'll run high-volume sourcing across multiple channels simultaneously — job boards, LinkedIn, niche communities, referral networks, and anywhere else qualified talent lives. You'll screen candidates quickly and accurately, matching domain expertise to program requirements. You'll own pipeline health metrics — application volume, time-to-fill, screen-to-hire ratios — and hold yourself accountable to them daily. You'll work hand-in-hand with Strategic Project Leads and Operations to understand what each program actually needs, not just what the job description says. When a pipeline dries up or a new program spins up overnight, you don't wait to be told — you move. The programs don't stop for recruiting, so recruiting can't stop either.

  • Source and screen high volumes of candidates across multiple active programs simultaneously, maintaining quality and speed without sacrificing either
  • Own top-of-funnel pipeline health: track application volume, conversion rates, time-to-fill, and screen-to-hire ratios daily
  • Partner closely with Strategic Project Leads and Operations to understand program-specific requirements — domain expertise, availability windows, technical qualifications, and quality standards
  • Build and maintain sourcing pipelines across job boards, LinkedIn, academic networks, professional communities, and referral programs
  • Develop and iterate on outreach messaging, job descriptions, and screening criteria to improve conversion at every stage of the funnel
  • Coordinate scheduling and logistics for screening calls, assessments, and onboarding hand-offs
  • Flag pipeline risks early — if a program is at risk of understaffing, surface it before it becomes a delivery problem
  • Continuously improve sourcing strategies based on data; identify which channels produce the best contributors for each domain

Required Qualifications
  • 2+ years of high-volume recruiting or sourcing experience
  • Proven track record managing large candidate pipelines under tight timelines
  • Strong organizational skills; comfortable juggling multiple open requisitions at once
  • Data-driven: comfortable tracking and reporting on funnel metrics
  • Excellent written communication for high-volume outreach and candidate engagement
  • Scrappy, self-directed, and comfortable operating with minimal process in a fast-moving environment
Preferred Qualifications
  • Experience recruiting for technical, domain-expert, or gig/contractor workforces
  • Familiarity with AI data operations, annotation, or RLHF workforce programs
  • Experience with ATS platforms (Greenhouse, Ashby, Lever, or similar)
  • Background in marketplace operations, staffing, or workforce platforms

About HumanSignal

HumanSignal Services 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.


Equal Opportunity Employer

HumanSignal is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. HumanSignal does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, genetic information, or any other characteristic protected by applicable federal, state, or local law. We are committed to working with and providing reasonable accommodations to individuals with disabilities.