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Annotation Specialist Jobs (NOW HIRING)

Follow detailed annotation and redaction standards to ensure consistency. * Conduct quality checks to identify errors or inconsistencies. * Handle sensitive data with discretion and comply with ...

Follow detailed annotation and redaction standards to ensure consistency. * Conduct quality checks to identify errors or inconsistencies. * Handle sensitive data with discretion and comply with ...

Follow simple annotation instructions, including exploration, basic interactions, and task-based play. * Ensure recordings meet quality requirements, including no lag, stable FPS, and correct ...

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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.
More about Annotation Specialist jobs

What are the most commonly searched types of Annotation Specialist jobs?

The most popular types of Annotation Specialist jobs are:

What states have the most Annotation Specialist jobs?

States with the most job openings for Annotation Specialist jobs include:

Infographic showing various Annotation Specialist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution.

Data Annotation Specialist

CaseGuard

Arlington, VA • On-site

$40K - $50K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted yesterday


Job description

We are seeking a detail-oriented Data Entry to support data preparation initiatives. This role is responsible for redacting sensitive information from files and reviewing, labeling, and categorizing images to support machine learning model training. Accuracy, confidentiality, and consistency are critical to success in this role.
Key Responsibilities:
  • Review digital documents and redact sensitive or confidential information according to established guidelines.
  • Perform accurate data entry and data validation to ensure high-quality datasets.
  • Review, label, and categorize images to support machine learning and AI model training.
  • Follow detailed annotation and redaction standards to ensure consistency.
  • Conduct quality checks to identify errors or inconsistencies.
  • Handle sensitive data with discretion and comply with privacy and security policies.
  • Meet productivity and accuracy benchmarks while managing multiple tasks.

Qualifications:
  • Bachelor's degree in any field.
  • High attention to detail and ability to work with repetitive tasks while maintaining accuracy.
  • Basic technical proficiency and ability to learn new software tools quickly.
  • Strong organizational skills and ability to meet deadlines.
  • Excellent communication skills and ability to follow instructions.
  • Ability to maintain confidentiality and handle sensitive information.

Benefits:
  • Competitive Salary
  • Stock Option
  • Medical, Dental, and Vision Insurance
  • 401K
  • Paid Vacation
  • Ten paid holidays per year
  • Friendly and Learning environment

Salary Range:$40,000 - $50,000
About CaseGuard
CaseGuard is a software company that helps law enforcement agencies, federal agencies, hospitals, schools, airports, and others manage all their media redaction needs in one easy-to-use redaction software. CaseGuard Studio is one of its kind. Our team is driven by a passion for great software design, the creation of great products, and the creative process, CaseGuard implements innovative ideas across multiple services and agencies.