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Annotation Analyst Jobs in Virginia (NOW HIRING)

Responsibilities for this position include providing imagery and geospatial analysis services in ... Experience with Machine Learning training data creation, annotation, and review as well as ...

Responsibilities for this position include providing imagery and geospatial analysis services in ... Experience with Machine Learning training data creation, annotation, and review as well as ...

Skilled at teaching close reading, annotation, and analytical response construction for complex high school texts. Guides students through interpreting poetry and prose, evaluating rhetorical ...

Skilled at teaching close reading, annotation, and analytical response construction for complex high school texts. Guides students through interpreting poetry and prose, evaluating rhetorical ...

Skilled at teaching close reading, annotation, and analytical response construction for complex high school texts. Guides students through interpreting poetry and prose, evaluating rhetorical ...

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Annotation Analyst information

See Virginia salary details

$30.7K

$72.6K

$128.9K

How much do annotation analyst jobs pay per year?

As of Jun 16, 2026, the average yearly pay for annotation analyst in Virginia is $72,633.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,000.00 and $86,300.00 per year, depending on experience, location, and employer.

What are the typical day-to-day responsibilities of an Annotation Analyst?

As an Annotation Analyst, your daily responsibilities generally include reviewing and labeling large volumes of data—such as images, text, or audio—according to predefined guidelines or project requirements. You may also participate in quality control processes, address edge cases or ambiguities in the data, and collaborate with project managers, data scientists, or other analysts to ensure consistency and accuracy. Additionally, you might provide feedback on annotation tools or contribute to refining categorization criteria. The role often involves both independent work and teamwork within a fast-paced, detail-oriented environment, where precision is essential for supporting training and evaluation of AI or machine learning models.

Is an annotation analyst a good job?

An annotation analyst is a role that involves labeling data for machine learning models, requiring attention to detail and familiarity with annotation tools. The job can offer flexible schedules and remote work options but may involve repetitive tasks and lower pay compared to other tech roles. Overall, it can be a good entry-level position for those interested in data and AI development.

What qualifications do I need for data annotation?

Annotation analysts typically need a high school diploma or equivalent, strong attention to detail, and good reading comprehension skills. Familiarity with data labeling tools and basic computer skills are also important, and some roles may require knowledge of specific domains like healthcare or technology. Certifications are not usually required but can enhance job prospects.

What does an annotation analyst do?

An annotation analyst is responsible for labeling and categorizing data, such as images, text, or videos, to help train machine learning models. They use specialized tools and follow guidelines to ensure data accuracy and consistency, often working in a team environment with quality control measures.

Does data annotation actually pay well?

Data annotation analysts typically earn hourly wages that are close to minimum wage or slightly above, depending on the company and location. While some positions offer flexible schedules and remote work, the pay generally does not compare to higher-skilled tech roles, and advancement may require developing additional skills or certifications.

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

To thrive as an Annotation Analyst, you need exceptional attention to detail, analytical thinking, and proficiency in data labeling or linguistic annotation, often supported by a relevant degree such as linguistics or computer science. Familiarity with annotation tools and platforms (like Labelbox, Prodigy, or proprietary systems) and knowledge of data privacy standards are highly beneficial. Strong communication, collaboration, and time management skills help in working efficiently with multidisciplinary teams and meeting project deadlines. These qualities are crucial for producing high-quality, accurate datasets that directly impact the success of machine learning and AI initiatives.

What is an Annotation Analyst job?

An Annotation Analyst is responsible for labeling and categorizing data, such as text, images, audio, or video, to help improve machine learning models and AI systems. They follow specific guidelines to ensure accuracy and consistency in annotations. This role often involves reviewing, analyzing, and correcting data to enhance AI algorithms' performance. Annotation Analysts typically work with teams developing natural language processing (NLP), computer vision, or speech recognition technologies. Strong attention to detail and familiarity with industry tools are key skills for success in this role.

What are popular job titles related to Annotation Analyst jobs in Virginia? For Annotation Analyst jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Annotation Analyst jobs in Virginia look for? The top searched job categories for Annotation Analyst jobs in Virginia are:

Senior Imagery Analyst (Data Annotation) with Security Clearance

Vantor

Falls Church, VA

$91K - $116K/yr

Other

Retirement

Posted 2 days ago


Job description

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. Vantor is a place for problem solvers, changemakers, and go-getters-where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world.

To be eligible for this position, you must be a U.S. Citizen. This position requires an active U.S.

Government security clearance, applicants who do not currently hold the required clearance will not be eligible for consideration. Employment for cleared roles is contingent upon verification of clearance status. Export Control/ITAR: Certain roles may be subject to U.S.

export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3).

Please review the job details below. This position requires an active U.S. Government Security Clearance at the TS/SCI level.

Vantor is seeking a detail-oriented Senior Imagery Analyst (Data Annotation) to guide and improve annotation workflows across EO, SAR, and commercial imagery. You'll perform quality validation efforts, mentor junior team members, and drive continuous improvement in annotation standards to support mission-critical AI/ML development. 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 Minimum Qualifications: * 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 Qualifications: * 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 #cjpost #LI-RD Pay Transparency: In support of pay transparency at Vantor, we disclose salary ranges on all U.S. job postings. The successful candidate's starting pay will fall within the salary range provided below and is determined based on job-related factors, including, but not limited to, the experience, qualifications, knowledge, skills, geographic work location, and market conditions.

Candidates with the minimum necessary experience, qualifications, knowledge, and skillsets for the position should not expect to receive the upper end of the pay range. The base pay for this position within California, Colorado, Hawaii, New Jersey, the Washington, DC metropolitan area, and for all other states is: $115,000.00 - $120,000.00 Benefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: https://www.Vantor.com/careers The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire.

If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire. The date of posting can be found on Vantor's Career page at the top of each job posting. To apply, submit your application via Vantor's Career page.

EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.