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Data Annotation Engineer Jobs in Washington, DC (NOW HIRING)

Axle

Data Scientist II

Rockville, MD

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

Axle

Data Scientist II

Rockville, MD

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

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 ...

iNovex Information Systems

Data Scientist 3

Annapolis, MD · On-site

$161K - $211K/yr

... annotation of language data with parts of speech information, and improve existing models by ... Ability to use analytic modeling, statistical analysis, programming, and/or another appropriate ...

Seekr

Senior Data Scientist

Reston, VA · On-site

Coordinate data collection and annotation efforts for supervised training efforts * Design and ... Strong programming skills in Python required. Experience in java and html a plus. * Experience ...

iNovex Information Systems

Data Scientist 3

Annapolis, MD · On-site

$161K - $211K/yr

... annotation of language data with parts of speech information, and improve existing models by ... Ability to use analytic modeling, statistical analysis, programming, and/or another appropriate ...

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Showing results 21-40

All JobsData Annotation Engineer JobsData Annotation Engineer Jobs in Washington, DC

Data Annotation Engineer information

See Washington, DC salary details

$58.3K

$167K

$223.1K

How much do data annotation engineer jobs pay per year?

As of Jul 25, 2026, the average yearly pay for data annotation engineer in Washington, DC 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 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 are the key skills and qualifications needed to thrive in the Data Annotation Engineer position, and why are they important?

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.

Does data annotation really pay?

Data annotation engineers can earn competitive wages, often paid hourly or per task, with pay rates varying based on experience, complexity of annotations, and the platform or employer. Entry-level roles may start at minimum wage, while experienced annotators or those with specialized skills can earn higher salaries or freelance rates. Overall, data annotation can provide a reliable income, especially for remote or flexible work arrangements.

What is the highest salary for data annotator?

The highest salary for a data annotation engineer can reach up to $80,000 to $100,000 annually, depending on experience, location, and the complexity of annotation tasks. Senior roles or those with specialized skills in tools like Labelbox or CVAT may earn higher compensation. Salaries vary widely across companies and regions but generally reflect the technical skills required for high-quality data labeling.

What is a data annotation engineer?

A data annotation engineer is a professional responsible for labeling and annotating data, such as images, text, or videos, to prepare it for machine learning models. They often use specialized tools and follow guidelines to ensure data quality, supporting the development of AI systems.

How hard is it to get hired by data annotation?

Getting hired as a data annotation engineer typically requires basic computer skills, attention to detail, and familiarity with annotation tools. Many positions are entry-level and may not require advanced degrees, but strong accuracy and consistency are important for success in the role.

What is a Data Annotation Engineer job?

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 popular job titles related to Data Annotation Engineer jobs in Washington, DC? For Data Annotation Engineer jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Data Annotation Engineer jobs in Washington, DC look for? The top searched job categories for Data Annotation Engineer jobs in Washington, DC are:
Data Annotation Engineer jobs near you
Infographic showing various Data Annotation Engineer job openings in Washington, DC as of July 2026, with employment types broken down into 70% Full Time, 11% Part Time, and 19% Contract. Highlights an 88% In-person, and 12% Remote job distribution, with an average salary of $167,014 per year, or $80.3 per hour.
Data Processor

Data Processor

Silent Falcon UAS Technologies

Vienna, VA • On-site

Full-time

Posted 5 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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