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Annotation Jobs in Virginia (NOW HIRING)

Experience with Machine Learning training data creation, annotation, and review as well as Structured Observation Management * Order of battle knowledge including air, sea, and ground equipment and ...

DATA ENGINEER

Reston, VA · On-site

$119K - $143K/yr

Java -JDK 1.6+, Model View Controller (MVC) architecture, Annotation, Servelet 2.5/Java Server Pages (JSP) 2.2, Servlet Filters, Java Server Pages Standard Tag Library (JSTL) Web-HTML, Javascript ...

Sr. Java Developer

Richmond, VA · On-site

$56.75 - $72.25/hr

Expertise in Core Java concepts, such as OOP Design, Multi-Threading, Generics, Exception Handling, Collections, Java Reflection, Annotation is required. Extensive practical experience in building ...

Proficiency in AutoCAD (2D drafting, layering, and annotation) and Revit (3D modeling, plan generation, and family development). * Experience reading and interpreting construction drawings and ...

Proficiency in AutoCAD (2D drafting, layering, and annotation) and Revit (3D modeling, plan generation, and family development). Experience reading and interpreting construction drawings and facility ...

DATA ENGINEER

Reston, VA · On-site

$119K - $143K/yr

Java -JDK 1.6+, Model View Controller (MVC) architecture, Annotation, Servelet 2.5/Java Server Pages (JSP) 2.2, Servlet Filters, Java Server Pages Standard Tag Library (JSTL) Web-HTML, Javascript ...

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Annotation information

See Virginia salary details

$44.6K

$57.9K

$96.7K

How much do annotation jobs pay per year?

As of Jul 8, 2026, the average yearly pay for annotation in Virginia is $57,914.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,100.00 and $57,500.00 per year, depending on experience, location, and employer.

What is an Annotation job?

An annotation job involves labeling or tagging data, such as text, images, audio, or video, to help train artificial intelligence and machine learning models. Annotators manually or semi-automatically add metadata, such as identifying objects in images, transcribing speech, or categorizing text. This process improves AI accuracy by providing high-quality training data. Annotation work is crucial for industries like autonomous driving, healthcare, and natural language processing.

What does an annotation job do?

An annotation job involves labeling or tagging data, such as images, text, or videos, to help train machine learning models. Workers typically use specialized tools to add accurate annotations, which are essential for developing AI systems in fields like computer vision and natural language processing.

Which 5 jobs will survive AI?

Annotation jobs, which involve labeling data for machine learning, are likely to persist as they require human judgment and domain expertise. Roles such as data annotators, quality assurance specialists, and domain-specific annotators will continue to be essential, especially in areas needing nuanced understanding and accuracy. Skills in critical thinking and familiarity with annotation tools will support job stability in this field.

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

Excelling in an Annotation role generally requires keen attention to detail, strong analytical abilities, and a high level of accuracy, often backed by a relevant educational background. Familiarity with annotation tools, data labeling software, and sometimes basic programming or data management platforms is valuable. Effective time management, consistency, and clear communication are soft skills that differentiate top performers. These competencies are crucial to ensuring data quality and supporting the development of machine learning and AI systems.

How much do annotators make?

Annotators typically earn between $10 and $20 per hour, depending on the complexity of the task, experience, and the employer. Many work remotely and may be paid per task or project rather than hourly, with some platforms offering bonuses for high accuracy or speed.

Is data annotation real or fake?

Data annotation is a legitimate job that involves labeling data such as images, text, or videos to train machine learning models. It requires attention to detail and familiarity with annotation tools, and it is widely used in AI development across various industries.

What are the typical projects or tasks an Annotation specialist works on throughout the week?

Annotation specialists typically work on projects involving the labeling and categorizing of data—such as images, videos, audio, or text—to train machine learning models. Weekly tasks may include reviewing raw data, applying specific tagging guidelines, performing quality checks on completed annotations, and collaborating with team members or machine learning engineers to ensure accuracy and consistency. Frequent feedback sessions and ongoing updates to annotation instructions are common as project requirements evolve. This role often requires close teamwork and clear communication within a collaborative environment, especially for large-scale or rapidly changing projects.

What are the most commonly searched types of Annotation jobs in Virginia? The most popular types of Annotation jobs in Virginia are:
What are popular job titles related to Annotation jobs in Virginia? For Annotation jobs in Virginia, the most frequently searched job titles are:
What cities in Virginia are hiring for Annotation jobs? Cities in Virginia with the most Annotation job openings:
Infographic showing various Annotation job openings in Virginia as of July 2026, with employment types broken down into 1% As Needed, 34% Full Time, 31% Part Time, and 34% Contract. Highlights an 34% Physical, and 66% Remote job distribution, with an average salary of $57,914 per year, or $27.8 per hour.