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Data Annotation Jobs in Washington, DC (NOW HIRING)

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Data Annotation information

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$9

$27

$58

How much do data annotation jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for data annotation in Washington, DC is $27.09, according to ZipRecruiter salary data. Most workers in this role earn between $18.32 and $32.26 per hour, depending on experience, location, and employer.

Is data annotation a legitimate?

Data annotation is a legitimate job that involves labeling data such as images, text, or audio to help train machine learning models. It is commonly performed remotely and requires attention to detail, basic technical skills, and familiarity with annotation tools. Many companies hire data annotators as part of their AI development teams.

What does a typical workday look like for someone in a Data Annotation role?

A typical workday as a Data Annotator involves reviewing datasets—such as images, audio, text, or video—and accurately labeling or categorizing information according to specific project guidelines. Most Data Annotators work independently, but they often collaborate with project managers or data scientists to clarify requirements and resolve ambiguities. Tasks may be repetitive, but adhering to precise standards is vital for maintaining data quality. Work environments can range from technology companies to remote or freelance settings, and advancement opportunities exist as team leads or quality assurance specialists for those who excel in consistency and reliability.

What is a Data Annotation job?

A Data Annotation job involves labeling and categorizing data, such as text, images, audio, or video, to help train machine learning models. Annotators apply tags, bounding boxes, or classifications to data based on specific guidelines. This process improves the accuracy of AI systems in recognizing patterns and making predictions. Many data annotation jobs require attention to detail and familiarity with specific domains. It is commonly used in applications like autonomous driving, natural language processing, and computer vision.

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

To thrive in Data Annotation, you need strong attention to detail, accuracy, and basic data handling skills, often supported by a high school diploma or equivalent. Familiarity with annotation platforms, data labeling software, or content management systems is frequently required, though specific certifications are rare. Excellent communication, time management, and the ability to focus on repetitive tasks distinguish top performers in this role. These skills are crucial because accurate and consistent data annotation directly impacts the quality of machine learning models and AI applications.

What does a data annotator do?

A data annotator labels and tags data such as images, text, or videos to help machine learning models understand and learn from the data. They use tools and follow guidelines to ensure accuracy and consistency, often working with large datasets in a structured environment. Attention to detail and knowledge of annotation tools are important for this role.

Do people actually make money on data annotation?

Data annotation jobs can provide a source of income, with pay rates varying based on the complexity of tasks, platform, and experience. Many annotators earn hourly or per-task wages, but earnings often depend on the volume of work completed and the employer's pay structure.

Is it hard to get hired for data annotation?

Getting hired for a data annotation role generally depends on the employer's requirements, such as attention to detail and basic computer skills. Many positions are entry-level and may not require prior experience or certifications, making them accessible to a wide range of applicants. However, competition can vary based on the number of available jobs and the quality of applicants.
What are the most commonly searched types of Data Annotation jobs in Washington, DC? The most popular types of Data Annotation jobs in Washington, DC are:
What are popular job titles related to Data Annotation jobs in Washington, DC? For Data Annotation jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Data Annotation jobs in Washington, DC look for? The top searched job categories for Data Annotation jobs in Washington, DC are:
Data Annotation jobs near you
Infographic showing various Data Annotation job openings in Washington, DC as of June 2026, with employment types broken down into 1% As Needed, 87% Full Time, and 12% Part Time. Highlights an 45% Physical, 1% Hybrid, and 54% Remote job distribution, with an average salary of $56,355 per year, or $27.1 per hour.

Senior Imagery Analyst (Data Annotation)

Vantor

Falls Church, VA • On-site

$91K - $115K/yr

Full-time

Posted 28 days ago

Job description

Job Summary:
Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what’s happening now and shape what’s coming next. They are seeking a detail-oriented Senior Imagery Analyst (Data Annotation) to guide and improve annotation workflows across EO, SAR, and commercial imagery while performing quality validation efforts and mentoring junior team members.
Responsibilities:
• Provide quality assurance reviews of annotated geospatial imagery
• Train and mentor junior annotators on best practices
• Identify systemic annotation issues and drive corrective actions
• Validate annotation accuracy across multiple formats (bounding boxes, segmentation, center points)
• Collaborate with peers, quality lead, program managers, and other critical partners to align data output with downstream model needs
• Recommend and implement improvements to annotation tools and processes
• Write and maintain annotation guidelines and quality control documentation
Qualifications:
Required:
• U.S. citizenship and active TS/SCI clearance
• 7+ years of experience with EO, SAR, COMINT, and/or commercial imagery analysis and geospatial data annotation
• Proficiency in geospatial software tools (e.g., ArcGIS, QGIS)
• Experience using Remote View, SOCET GXP, and/or Fade/Mist
• Demonstrated leadership in data validation or quality assurance processes
• Experience with object classification, visual QA, and annotation feedback cycles
Preferred:
• Experience supporting government or defense missions
• Familiarity with automated quality metrics or annotation pipelines
• Experience with SAR-specific feature analysis
• Basic scripting or automation (e.g., Python, Jupyter) is a plus
• Prior experience writing SOPs or developing team workflows
Company:
A spatial intelligence firm. Founded in 2025, the company is headquartered in Denver, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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