Work within annotation platforms (e.g., Encord, CVAT, Label Studio, or similar) to complete labeling tasks efficiently. * Document and communicate recurring issues or ambiguities in the data to ...
Quick apply
Work within annotation platforms (e.g., Encord, CVAT, Label Studio, or similar) to complete labeling tasks efficiently. * Document and communicate recurring issues or ambiguities in the data to ...
Content Creator (Flexible Gig)
Phoenix, AZ · On-site
$80/hr
Our open-source product, Label Studio , has become the de facto standard for labeling and evaluating data across modalities -- from text and images to time series and agents-in-environments. With ...
Content Creator (Flexible Gig)
Phoenix, AZ · On-site
$80/hr
Our open-source product, Label Studio , has become the de facto standard for labeling and evaluating data across modalities -- from text and images to time series and agents-in-environments. With ...
Work within annotation platforms (e.g., Encord, CVAT, Label Studio, or similar) to complete labeling tasks efficiently. * Document and communicate recurring issues or ambiguities in the data to ...
Quick apply
Work within annotation platforms (e.g., Encord, CVAT, Label Studio, or similar) to complete labeling tasks efficiently. * Document and communicate recurring issues or ambiguities in the data to ...
Experience working with evaluation frameworks or annotation tools (Label Studio, Prodigy, etc.) is a bonus. * Excellent written and verbal communication skills
Experience working with evaluation frameworks or annotation tools (Label Studio, Prodigy, etc.) is a bonus. * Excellent written and verbal communication skills
Work within annotation platforms (e.g., Encord, CVAT, Label Studio, or similar) to complete labeling tasks efficiently. * Document and communicate recurring issues or ambiguities in the data to ...
Quick apply
Work within annotation platforms (e.g., Encord, CVAT, Label Studio, or similar) to complete labeling tasks efficiently. * Document and communicate recurring issues or ambiguities in the data to ...
Math Expert (US & International)
Manhattan, NY · On-site +1
$110/hr
Our open-source product, Label Studio , has become the de facto standard for labeling and evaluating data across modalities -- from text and images to time series and agents-in-environments. With ...
Math Expert (US & International)
Manhattan, NY · On-site +1
$110/hr
Our open-source product, Label Studio , has become the de facto standard for labeling and evaluating data across modalities -- from text and images to time series and agents-in-environments. With ...
Data Collector (International)
Manhattan, NY · On-site
$20/hr
Our open-source product, Label Studio , has become the de facto standard for labeling and evaluating data across modalities -- from text and images to time series and agents-in-environments. With ...
New
Data Collector (International)
Manhattan, NY · On-site
$20/hr
Our open-source product, Label Studio , has become the de facto standard for labeling and evaluating data across modalities -- from text and images to time series and agents-in-environments. With ...
New
Coding Expert (US & International)
Manhattan, NY · On-site +1
$110/hr
Our open‐source product, Label Studio , has become the de facto standard for labeling and evaluating data across modalities -- from text and images to time series and agents‐in‐environments.
Coding Expert (US & International)
Manhattan, NY · On-site +1
$110/hr
Our open‐source product, Label Studio , has become the de facto standard for labeling and evaluating data across modalities -- from text and images to time series and agents‐in‐environments.
STEM Expert (US & International)
Manhattan, NY · On-site +1
$110/hr
Our open-source product, Label Studio , has become the de facto standard for labeling and evaluating data across modalities -- from text and images to time series and agents-in-environments. With ...
STEM Expert (US & International)
Manhattan, NY · On-site +1
$110/hr
Our open-source product, Label Studio , has become the de facto standard for labeling and evaluating data across modalities -- from text and images to time series and agents-in-environments. With ...
English Writing Generalist (US & International)
Manhattan, NY · Remote
$40/hr
Our open-source product, Label Studio , has become the de facto standard for labeling and evaluating data across modalities -- from text and images to time series and agents-in-environments. With ...
English Writing Generalist (US & International)
Manhattan, NY · Remote
$40/hr
Our open-source product, Label Studio , has become the de facto standard for labeling and evaluating data across modalities -- from text and images to time series and agents-in-environments. With ...
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 ...
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 ...
Operations Associate
$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 ...
Quick apply
Operations Associate
$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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
Quick apply
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 ...
Delivery Lead
$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 ...
Quick apply
Delivery Lead
$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 ...
Training Specialist
$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 ...
Quick apply
Training Specialist
$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 ...
... labels, etc. - Inspect and repackage all inventory leaving and returning to the studio - Package, label, and ship products to our NY studio and/or other content creators - Physically and ...
... labels, etc. - Inspect and repackage all inventory leaving and returning to the studio - Package, label, and ship products to our NY studio and/or other content creators - Physically and ...
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 ...
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 ...
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 ...
Quick apply
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 ...
Label Studio information
See salary details
$28K - $32.5K
2% of jobs
$32.5K - $37K
7% of jobs
$37K - $41.5K
14% of jobs
$42.1K is the 25th percentile. Wages below this are outliers.
$41.5K - $46K
12% of jobs
The median wage is $50.2K / yr.
$46K - $50.5K
16% of jobs
$50.5K - $55K
15% of jobs
$58.5K is the 75th percentile. Wages above this are outliers.
$55K - $59.5K
12% of jobs
$59.5K - $64K
9% of jobs
$64K - $68.5K
7% of jobs
$68.5K - $73K
4% of jobs
$73K - $77.5K
2% of jobs
$28K
$53.4K
$77.5K
How much do label studio jobs pay per year?
As of Jun 3, 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 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 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 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?
| Aspect | Label Studio | Data Annotator |
|---|---|---|
| Required Credentials | Basic technical skills, familiarity with annotation tools | Typically high school diploma or equivalent, on-the-job training |
| Work Environment | Software platform, remote or on-site | Office or remote, depending on employer |
| Industry Usage | Data labeling for AI/ML projects across various industries | Data annotation tasks within organizations or outsourcing firms |
| Common Search Intent | Tools for data labeling, annotation software | Job 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:
$25/hr
Full-time
Posted yesterday
Job description
Location: Remote Employment Type: Full-Time | 40 hours/week Compensation: $25/hour
About the Role:
We are looking for a detail-oriented and technically capable Vision-Language-Action (VLA) Annotator to join our data operations team in Phoenix, Arizona. In this role, you will be responsible for reviewing, labeling, and quality-checking multimodal datasets used to train and evaluate autonomous driving and robotics models. Your work directly impacts the safety and performance of AI systems operating in the real world.
This is a full-time, 40-hour-per-week position requiring sustained focus, sound judgment, and the ability to apply structured annotation guidelines to complex, real-world scenarios — including frequent edge cases.
Key Responsibilities:
- Review and annotate video footage, sensor telemetry, and camera feeds from autonomous vehicle test drives and robotics platforms.
- Assess vehicle and robotic behavior in 3D space using 2D camera inputs, including approach angles, following distances, trail alignment, and controlled stop quality.
- Use time-series telemetry data — including speed, throttle, steering, and braking charts — to make precise trim and segmentation decisions on data clips.
- Apply annotation guidelines consistently while exercising independent judgment on ambiguous or edge-case scenarios.
- Identify and flag unsafe, incomplete, or anomalous driving behaviors (e.g., rolling stops, improper following distance, out-of-distribution maneuvers).
- Maintain high throughput and accuracy standards; participate in regular quality audits and calibration sessions.
- Work within annotation platforms (e.g., Encord, CVAT, Label Studio, or similar) to complete labeling tasks efficiently.
- Document and communicate recurring issues or ambiguities in the data to improve pipeline quality.
Preferred Qualifications:
- Education: Bachelor's degree with a STEM background preferred (Engineering, Computer Science, Physics, Mathematics, GIS, or related field).
- Spatial & Mechanical Reasoning: Demonstrated ability to interpret vehicle or robotic behavior in 3D space from 2D camera feeds. Backgrounds in robotics, automotive engineering, mechanical engineering, GIS, or simulation are strong indicators.
- Time-Series Data Literacy: Experience reading and interpreting sensor data, telemetry charts, lab instrumentation output, or signal processing data. Comfort with chart-heavy analytical workflows is essential for making precise trim decisions.
- Driving Familiarity: Regular driving experience, ideally in varied or off-road conditions. Must be able to distinguish safe from unsafe driving behavior, recognize complete vs. rolling stops, and assess reasonable following distances.
- Detail Orientation with Tolerance for Ambiguity: Ability to follow precise, rule-based guidelines while also applying sound judgment on frequent edge cases. Prior experience in QA, data annotation, or lab/research settings is a strong signal.
- Video Review Endurance: Comfort with sustained video review tasks. Prior experience in video editing, surveillance monitoring, sports performance analysis, or media production is a plus.
Nice-To-Haves:
- Prior annotation or data labeling experience, especially in autonomy or robotics datasets.
- Familiarity with geospatial tools, map interfaces, or GIS platforms.
- Hands-on experience with Encord, Label Studio, CVAT, Scale AI, or comparable labeling platforms.
- Background in autonomous vehicles, ADAS systems, or driver safety analysis.