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Label Studio Jobs (NOW HIRING)

Coalition, Inc.

WV

$200K/yr

You'll manage our labeling platform (Label Studio), work directly with ML and product teams to structure labeling programs, and oversee outsourced labeling vendors to hit quality and throughput ...

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

Delivery Lead

Austin, TX · 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

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

Columbus, OH

$90K - $130K/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 ...

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Label Studio information

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$28K

$53.4K

$77.5K

How much do label studio jobs pay per year?

As of Aug 6, 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 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.

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:
What job categories do people searching Label Studio jobs look for? The top searched job categories for Label Studio jobs are:
Label Studio jobs near you
Infographic showing various Label Studio job openings in the United States as of August 2026, with employment types broken down into 46% Full Time, 36% Part Time, and 18% Contract. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $53,399 per year, or $25.7 per hour.

Senior Manager, Machine Learning (Data Operations)

Coalition, Inc.

WV

$200K/yr

Other

Medical, Dental, Vision, PTO

Posted 20 days ago

Job description

About the role
Coalition's machine learning models are only as good as the data they're trained on. This role exists to make sure that data is right.

You'll own labeling quality and methodology across Coalition - designing annotation tasks, defining quality frameworks, and ensuring every labeled dataset meets the standard required to ship production ML models. You'll manage our labeling platform (Label Studio), work directly with ML and product teams to structure labeling programs, and oversee outsourced labeling vendors to hit quality and throughput targets.
 

This role reports to the Chief Product Officer and sits at the intersection of product, ML, and operations. You won't manage internal labelers - all annotation work is outsourced - but you will be the single point of accountability for whether Coalition's labeled data is accurate, consistent, and fit for purpose.
Responsibilities
  • Labeling quality & methodology: Define annotation guidelines, taxonomies, and edge-case protocols for each labeling program. Establish gold standard datasets, inter-annotator agreement (IAA) targets, and audit sampling processes. Identify and remediate mislabeled data in existing datasets.
  • Platform & tooling: Serve as the primary user and requirements driver for Label Studio - defining project configuration needs, workflow designs, pre-labeling pipeline requirements, and integration points with ML infrastructure. Partner with the data engineering team that builds and maintains the platform.
  • Cross-functional partnership: Work with ML engineers, data scientists, and product managers to translate model requirements into well-structured labeling tasks. Challenge teams on task design when labeling instructions are ambiguous or likely to produce unreliable labels.
  • Vendor management: Source, onboard, and manage external labeling vendors and BPOs in coordination with Coalition's operations team. Set quality SLAs, run calibration sessions, and manage feedback loops to labelers. Hold vendors accountable to accuracy, not just throughput.
  • Measurement & improvement: Define and track operational metrics - label accuracy, IAA scores, cost per label, turnaround time - and use them to drive continuous improvement. Identify opportunities for active learning, model-assisted labeling, and pre-annotation to reduce cost without sacrificing quality.
Skills and Qualifications
  • 5+ years in ML data operations, data labeling, or a related field (ML engineering, data science, or data engineering with heavy labeling exposure)
  • Deep understanding of annotation quality frameworks: IAA, consensus labeling, gold standard evaluation, error taxonomy, and calibration workflows
  • Direct experience managing labeling platforms (Label Studio strongly preferred; Scale AI, Labelbox, Prodigy, or similar acceptable)
  • Track record managing outsourced labeling vendors or BPOs for ML data production
  • Familiarity with common ML labeling tasks: text classification, NER, document extraction, intent detection
  • Comfortable working in Python and SQL; bonus if you've built tooling around labeling workflows or quality measurement
  • Strong opinions on what makes labeled data good or bad, and the willingness to push back when it's bad
  • Experience in insurance, cybersecurity, or fintech is a plus but not required
Compensation

Our compensation reflects the cost of labor across several US geographic markets. The US base salary for this position ranges from $134,400/year in our lowest geographic market up to $200,000/year in our highest geographic market. Consistent with applicable laws, an employee's pay within this range is based on a number of factors, which include but are not limited to relevant education, skills, job-related knowledge, qualifications, work experience, credentials, and/or geographic location. Your recruiter can share more on target salary for your location during the interview process. Coalition, Inc. reserves the right to modify this range as needed.

Perks
  • 100% medical, dental and vision coverage
  • Flexible PTO policy
  • Annual home office stipend and WeWork access
  • Mental & physical health wellness programs (One Medical, Headspace, Wellhub, and more)!
  • Competitive compensation and opportunity for advancement

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