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Annotation Specialist Jobs (NOW HIRING)

As a Data Annotation Specialist, you will be pivotal in iterating on our AI system by annotating data on various tasks performed by robots, directly influencing the performance of robotic arms.

Video Annotation Specialist * Job Type: Contractor * Location: Remote USA based About the hiring company: Our client is a rapidly growing, venture-backed AI company helping shape the next generation ...

Video Annotation Specialist * Job Type: Contractor * Location: Remote USA based About the hiring company: Our client is a rapidly growing, venture-backed AI company helping shape the next generation ...

Your mission & challenges As an AI Data Annotation Specialist, you will operate at the intersection of data ingestion, processing, and machine learning. Your primary responsibility is to design and ...

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Annotation Specialist information

What is an annotation specialist?

An Annotation Specialist is responsible for labeling and categorizing data, such as images, text, audio, or video, to help train machine learning models. They ensure data accuracy and consistency by following specific guidelines and using annotation tools. This role is critical in improving AI systems, such as computer vision models and natural language processing algorithms. Strong attention to detail and an understanding of data annotation techniques are essential for success in this role.

What are the typical day-to-day responsibilities of an annotation specialist?

As an Annotation Specialist, your daily tasks often include labeling and categorizing different types of data—such as images, text, or audio—according to precise project guidelines. You'll work closely with data scientists, engineers, and quality assurance teams to ensure annotation accuracy and address any ambiguities or edge cases that arise. Additionally, part of your role may involve providing feedback to improve annotation processes and occasionally attending team meetings or training sessions on new labeling standards. Staying organized and focused is key, as meeting deadlines and maintaining high-quality outputs are essential to the success of machine learning models built from your work.

What are the key skills and qualifications needed to thrive in the annotation specialist position, and why are they important?

To thrive as an Annotation Specialist, you need a keen eye for detail, strong analytical abilities, and familiarity with data labeling concepts, typically supported by a background in computer science or related fields. Proficiency with annotation platforms and tools such as Labelbox, Dataloop, or CVAT, as well as experience with data formats like JSON or XML, is highly valuable; certifications in data annotation or AI/machine learning are a plus. Excellent communication, time management, and the ability to work independently or within a team help Annotation Specialists excel in meeting project goals. These skills ensure accuracy, efficiency, and seamless collaboration in supporting high-quality data preparation for machine learning projects.

Does data annotation really pay well?

Data annotation specialists typically earn hourly wages that are comparable to entry-level positions, often ranging from minimum wage to moderate pay depending on experience and complexity of tasks. While some companies offer higher rates for specialized skills or longer-term contracts, overall pay tends to be modest and varies by industry and location.
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Infographic showing various Annotation Specialist job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, and 2% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution.

Video Annotation Specialist - Remote

New York, NY • Remote

Full-time

Posted 4 days ago


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.