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Machine Learning Data Annotation Jobs (NOW HIRING)

YO AI Labs

Video Annotation Expert - Remote

San Jose, CA · Remote

$50 - $90/hr

The role involves accurate video labeling and structured data annotation to support AI and machine-learning projects. Key Responsibilities * Review videos and identify key actions, events, and ...

New

YO AI Labs

Video Annotation Expert - Remote

Boston, MA · Remote

$50 - $90/hr

The role involves accurate video labeling and structured data annotation to support AI and machine-learning projects. Key Responsibilities * Review videos and identify key actions, events, and ...

New

YO AI Labs

Video Annotation Expert - Remote

Boston, MA · Remote

$50 - $90/hr

The role involves accurate video labeling and structured data annotation to support AI and machine-learning projects. Key Responsibilities * Review videos and identify key actions, events, and ...

New

YO AI Labs

Video Annotation Expert - Remote

Phoenix, AZ · Remote

$50 - $90/hr

The role involves accurate video labeling and structured data annotation to support AI and machine-learning projects. Key Responsibilities * Review videos and identify key actions, events, and ...

New

Simbe Robotics, Inc.

$120K - $155K/yr

Simbe combines robotics, computer vision, machine learning, data infrastructure, and customer ... This role goes beyond annotation coordination. You will help build the data engine behind Simbe ...

YO AI Labs

Video Annotation Expert - Remote

Austin, TX · Remote

$50 - $90/hr

The role involves accurate video labeling and structured data annotation to support AI and machine-learning projects. Key Responsibilities * Review videos and identify key actions, events, and ...

New

YO AI Labs

Video Annotation Expert - Remote

Chicago, IL · Remote

$50 - $90/hr

The role involves accurate video labeling and structured data annotation to support AI and machine-learning projects. Key Responsibilities * Review videos and identify key actions, events, and ...

New

YO AI Labs

Video Annotation Expert - Remote

Dallas, TX · Remote

$50 - $90/hr

The role involves accurate video labeling and structured data annotation to support AI and machine-learning projects. Key Responsibilities * Review videos and identify key actions, events, and ...

New

YO AI Labs

Video Annotation Expert - Remote

Miami, FL · Remote

$50 - $90/hr

The role involves accurate video labeling and structured data annotation to support AI and machine-learning projects. Key Responsibilities * Review videos and identify key actions, events, and ...

New

YO AI Labs

Video Annotation Expert - Remote

Seattle, WA · Remote

$50 - $90/hr

The role involves accurate video labeling and structured data annotation to support AI and machine-learning projects. Key Responsibilities * Review videos and identify key actions, events, and ...

New

YO AI Labs

Video Annotation Expert - Remote

Palo Alto, CA · Remote

$50 - $90/hr

The role involves accurate video labeling and structured data annotation to support AI and machine-learning projects. Key Responsibilities * Review videos and identify key actions, events, and ...

New

YO AI Labs

Video Annotation Expert - Remote

Atlanta, GA · Remote

$50 - $90/hr

The role involves accurate video labeling and structured data annotation to support AI and machine-learning projects. Key Responsibilities * Review videos and identify key actions, events, and ...

New

YO AI Labs

Video Annotation Expert - Remote

New York, NY · Remote

$50 - $90/hr

The role involves accurate video labeling and structured data annotation to support AI and machine-learning projects. Key Responsibilities * Review videos and identify key actions, events, and ...

MethodHub

Data Labeler / Data Annotator

Tampa, FL · On-site

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.

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Machine Learning Data Annotation information

What is machine learning data annotation?

Machine learning data annotation is the process of labeling or tagging data—such as images, text, audio, or video—so that it can be used to train machine learning models. Annotators add relevant information to raw data, helping algorithms learn to recognize patterns and make predictions. This process is essential for supervised learning, as models require accurately labeled datasets to achieve high performance. Data annotation can be done manually or with the help of specialized tools, and is a critical step in developing reliable AI systems.

What are the key skills and qualifications needed to thrive as a machine learning data annotation specialist?

To thrive as a Machine Learning Data Annotation Specialist, you need strong attention to detail, familiarity with data labeling processes, and a basic understanding of machine learning concepts, often supported by a relevant degree or specialized training. Experience with annotation platforms such as Labelbox, Supervisely, or CVAT, and knowledge of data management systems are commonly required. Diligence, consistency, and effective communication are essential soft skills for ensuring high-quality annotated datasets and collaborating with machine learning teams. These skills are crucial for producing accurate training data, which directly impacts the performance and reliability of AI models.

What are some common challenges faced in a machine learning data annotation role, and how can they be addressed?

One common challenge in a Machine Learning Data Annotation role is maintaining high consistency and accuracy, especially when dealing with large volumes of complex data. Ambiguities in labeling guidelines or unclear data points can also make the work more difficult. To address these issues, annotators often participate in regular training sessions, utilize detailed instruction manuals, and collaborate closely with quality assurance teams. Open communication with project managers and peers is also essential to clarify uncertainties and ensure alignment with project standards.

What is the difference between Machine Learning Data Annotation vs Data Labeler?

AspectMachine Learning Data AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, tech companies, AI projectsRemote or on-site, data processing centers, AI companies
Industry UsageAI, machine learning, data scienceData management, AI, machine learning
Job FocusCreating labeled datasets for training AI modelsLabeling data to assist AI training

Machine Learning Data Annotation involves creating detailed labels and annotations for datasets used to train AI models, often requiring understanding of specific data types. Data Labelers focus on applying labels to data, typically with less emphasis on complex annotations. Both roles are essential in AI development, but data annotation often involves more specialized tasks and tools.

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For Machine Learning Data Annotation jobs, the most frequently searched job titles are:

Machine Learning Data Annotation jobs near you
Infographic showing various Machine Learning Data Annotation job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution.

Video Annotation Expert - Remote

San Jose, CA • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$50 - $90/hr

Full-time

Posted 3 days ago

New

Job description

Video Annotation Specialist

Job Type: Contractor
Location: Remote

Role Overview

We are looking for detail-oriented Video Annotation Specialists to review and annotate videos of robotic arms performing various tasks. The role involves accurate video labeling and structured data annotation to support AI and machine-learning projects.

Key Responsibilities
  • Review videos and identify key actions, events, and outcomes.
  • Annotate and label video content according to project guidelines.
  • Use video annotation tools to create accurate, structured datasets.
  • Maintain consistency and accuracy across annotations.
  • Collaborate with team members to resolve unclear cases.
  • Participate in quality checks and incorporate feedback.
Requirements
  • Experience in video annotation, data labeling, or similar work preferred.
  • Strong attention to detail and accuracy.
  • Familiarity with video annotation tools.
  • Good written communication and collaboration skills.
  • Strong time-management and organizational abilities.
  • Experience with AI, machine learning, or robotics projects is a plus.