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Label Studio Jobs (NOW HIRING)

HumanSignal

Director of Finance

San Francisco, CA · On-site

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 ...

Ivy Tech

Studio and Gallery Technician

Indianapolis, IN · On-site

$18 - $20/hr

Job Title: Studio and Gallery Technician Location: Indianapolis - Downtown Campus Job Type ... Create labels and other didactic materials as needed * As required, assist with preparation and ...

HumanSignal

Content Creator (Flexible Gig)

Phoenix, AZ · On-site

$80/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 ...

Ivy Tech

Studio and Gallery Technician

Indianapolis, IN · On-site

$18 - $20/hr

Job Title: Studio and Gallery Technician Location: Indianapolis - Downtown Campus Job Type ... Create labels and other didactic materials as needed * As required, assist with preparation and ...

HumanSignal

Training Specialist

San Francisco, CA

$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

Operations Associate

San Francisco, CA · On-site

$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 ...

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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 Jun 24, 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
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Label Studio jobs near you

Data Study Participant (Columbus, Ohio)

HumanSignal

Columbus, OH

$100/day

Full-time

Posted 24 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.

Get Paid $100 for 90 Minutes of Fun!

Love being active? Enjoy trying new things? Want to make some quick cash while helping build the future of AI?

We're looking for energetic people in Columbus, Ohio to participate in a super casual, fun data collection study. Think of it as getting paid to hang out, move around, and be yourself in front of a camera—no experience needed, no memorization, just you doing simple everyday actions!

What You'll Do

Visit our Columbus location for a 90-minute session where you'll:

  • Perform easy, everyday activities like walking, gesturing, talking, and moving around
  • Work with our friendly team who'll capture images, videos, and audio
  • Try different setups with various props, backgrounds, and lighting
  • Just be yourself—no acting skills required!
  • Share 8-10 photos from your photo library to aid the study
Why You'll Love This
  • Quick cash — $100 for 90 minutes
  • Zero pressure — just be yourself and have fun
  • Bring your people — friends and family can join
  • Referral bonuses — earn $25 per successful referral
  • Help shape AI technology that learns from real human movement and expression
  • Flexible scheduling — find a time that works for you

Ready to make some easy money while contributing to cutting-edge AI development? Sign up today!

Important: This opportunity is a 1099 contractor assignment and does not constitute employment with HumanSignal.

Demographic Information Disclosure: This research study requires the collection of demographic information (including but not limited to age, gender, ethnicity, and physical characteristics) to ensure appropriate diversity and representation in AI training data. All demographic information collected will be used solely for research purposes and handled in accordance with applicable privacy laws. Participation in this study is completely voluntary, and you have the right to decline participation or withdraw at any time without penalty. By participating, you consent to the collection of this demographic information as part of the study requirements.