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Label Studio Jobs in Florida (NOW HIRING)

Experience working with data annotation and machine learning pipeline management platforms and tools such as Label Studio, CVAT, Prodigy, Amazon SageMaker Ground Truth. * Strong attention to detail.

New

Experience working with data annotation and machine learning pipeline management platforms and tools such as Label Studio, CVAT, Prodigy, Amazon SageMaker Ground Truth * Basic understanding of AI/ML ...

New

Content Studio work * Special sections * Audience engagement campaigns That creates opportunity ... labeling requirements, and publishing commitments. * Coordinate with writers, designers, Digital ...

Prep-Cook

FL · On-site

$12.50 - $15.75/hr

Ensure freshness of food and ingredients through effective rotation and labeling of product in the ... La Petite Kitchen is a chef-driven cooking class studio and private dining room. Cache Cache is a ...

Prep-Cooks

Saint Augustine, FL · On-site

$12.50 - $15.75/hr

Ensure freshness of food and ingredients through effective rotation and labeling of product in the ... La Petite Kitchen is a chef-driven cooking class studio and private dining room. Cache Cache is a ...

About Worklio Worklio is an infrastructure provider of embedded and white-label payroll, HR, and ... Azure DevOps, Visual Studio, Git, Azure Portal * Design/Docs: Figma, MS Project, FeatureBase What ...

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Label Studio information

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 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 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 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 Florida?

For Label Studio jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Label Studio jobs in Florida look for?

The top searched job categories for Label Studio jobs in Florida are:

What cities in Florida are hiring for Label Studio jobs?

Cities in Florida with the most Label Studio job openings:

Infographic showing various Label Studio job openings in Florida as of August 2026, with employment types broken down into 70% Full Time, and 30% Part Time. Highlights an 100% In-person job distribution.

Data Labeler / Data Annotator

MethodHub

Tampa, FL • On-site

Other

Posted 3 days ago

New


Job description

Data Labeler / Data Annotator

Location: Tampa, FL (5 days Onsite)
Duration: Long-term Contract

  • Perform detailed data annotation and classification activities based on project-specific labeling guidelines and business rules.
  • Experience in preparing, labeling, reviewing, and validating large datasets used for machine learning and artificial intelligence applications.
  • Experience with text, image, video, audio, and document annotation.
  • Experience working with data annotation and machine learning pipeline management platforms and tools such as Label Studio, CVAT, Prodigy, Amazon SageMaker Ground Truth.
  • Strong attention to detail.
  • Ability to follow detailed business rules.
  • Healthcare/insurance/payment domain knowledge as an advantage