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Data Annotation Engineer Jobs in Washington (NOW HIRING)

Axle

Data Scientist II

Rockville, MD · On-site

With experts in biomedical science, software engineering, and program management, we focus on ... annotation, DEG), and Digital Spatial Profiling (annotation, QC, normalization, spatial ...

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Data Annotation Engineer information

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$58.3K

$167K

$223.1K

How much do data annotation engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for data annotation engineer in Washington is $167,014.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,100.00 and $222,000.00 per year, depending on experience, location, and employer.

What is a data annotation engineer?

A Data Annotation Engineer is responsible for labeling and annotating data—such as text, images, audio, or video—to train machine learning models. They ensure that data is accurately categorized and structured to improve model performance. This role often involves using specialized annotation tools, following detailed guidelines, and working closely with data scientists and AI teams. Data Annotation Engineers play a crucial role in the development of AI applications by providing high-quality labeled datasets for supervised learning.

What are the key skills and qualifications needed to thrive as a data annotation engineer?

To thrive as a Data Annotation Engineer, you need a strong background in data analysis, attention to detail, and familiarity with annotation processes, often supported by a degree in computer science or a related field. Proficiency with annotation tools like Labelbox, CVAT, or VIA, and understanding of data formats used in machine learning, is commonly required. Excellent communication, collaboration, and organizational skills help you effectively manage projects and cooperate with cross-functional teams. These abilities are crucial for delivering high-quality labeled data, which directly impacts the performance of AI and machine learning models.

What are the main challenges faced by data annotation engineers in their daily work?

One of the main challenges Data Annotation Engineers face is ensuring consistent accuracy and quality in labeling large and often complex datasets. Attention to detail is critical, as even small errors can significantly affect machine learning model performance. Additionally, engineers must frequently adapt to evolving annotation guidelines and emerging data types, which requires ongoing learning and flexibility. Collaboration with data scientists and project managers is common to clarify requirements and resolve ambiguities, making strong communication skills essential for success.

What is the salary of data annotation engineer?

The salary of a data annotation engineer typically ranges from $40,000 to $80,000 annually, depending on experience, location, and the complexity of annotation tasks. Entry-level positions may start lower, while experienced professionals with specialized skills in tools like Labelbox or CVAT can earn higher salaries.

What are popular job titles related to Data Annotation Engineer jobs in Washington?

For Data Annotation Engineer jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Data Annotation Engineer jobs in Washington look for?

The top searched job categories for Data Annotation Engineer jobs in Washington are:

What cities in Washington are hiring for Data Annotation Engineer jobs?

Cities in Washington with the most Data Annotation Engineer job openings:

Data Annotation Engineer jobs near you
Infographic showing various Data Annotation Engineer job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 9% Part Time, 2% Temporary, and 7% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $167,014 per year, or $80.3 per hour.

Data Processor

Silent Falcon UAS Technologies

Vienna, VA • On-site

Full-time

Re-posted 4 days ago

Job description

Job Summary:
Silent Falcon UAS Technologies is at the forefront of AI and digital twins innovation for airports and transportation infrastructure. They are seeking a Data Processor to support AI Engineers by preparing, annotating, and validating high-resolution remote sensing datasets to ensure model accuracy and usability for clients.
Responsibilities:
• Process, clean, and annotate image data, 3D scan data, point clouds, or mesh data (marking cracks, distresses, edge lines, etc.)
• Organize and maintain datasets, metadata, and geolocation tags to ensure data is properly georeferenced.
• Validate model predictions, help with error review, and flag data anomalies or misclassifications.
• Assist in preparing datasets for training, testing, and temporal/change-detection comparisons.
• Follow data quality standards, maintain consistency across annotators.
• Work with the AI Engineer to refine annotations tools, guidelines, and workflows.
Qualifications:
Required:
• Bachelors degree (in progress or completed) in Computer Science or related field.
• 1+ years of relevant experience.
• Experience with image annotation tools or similar platforms.
• Ability to identify cracks, pavement distresses, and texture changes in imagery.
• Comfortable working with large file sizes.
• Strong organizational skills.
• Strong attention to detail.
Preferred:
• Basic familiarity with geospatial concepts (coordinates) is a plus.
Company:
SF is using proprietary generative AI and predictive analytics to lower airport management cost and improve safety. Founded in 2010, the company is headquartered in Front Royal, USA, with a team of 11-50 employees. The company is currently Early Stage.

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