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Prompt Data Annotation Ai Jobs in Virginia (NOW HIRING)

CACI International, Inc.

AI Prompt Engineer

Ashburn, VA · On-site

AI Prompt Engineer Job Category: Information Technology Time Type: Full time Minimum Clearance ... Problem-solving skills, with a data-driven approach to experimentation and optimization. * Witten ...

CACI International, Inc.

AI Prompt Engineer

Ashburn, VA · On-site

AI Prompt Engineer Job Category: Information Technology Time Type: Full time Minimum Clearance ... Problem-solving skills, with a data-driven approach to experimentation and optimization. * Witten ...

CACI International, Inc.

AI Prompt Engineer

Ashburn, VA · On-site

AI Prompt Engineer Job Category: Information Technology Time Type: Full time Minimum Clearance ... Problem-solving skills, with a data-driven approach to experimentation and optimization. * Witten ...

Appian Corporation

AI Prompt Engineer

Mclean, VA · On-site

We are seeking an AI Prompt Engineer to be the builder behind our "AI-First" transformation. You ... Comfort with scripting to wire data sources and automate workflow components. Strong technical ...

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Prompt Data Annotation Ai information

What is the difference between Prompt Data Annotation Ai vs Data Labeler?

AspectPrompt Data Annotation AiData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, often with AI teamsRemote or on-site, often with data teams
Industry UsageAI development, machine learning projectsData management, machine learning datasets
Job FocusAnnotating data for AI prompts and modelsLabeling data for training AI algorithms

Prompt Data Annotation Ai specialists focus on creating high-quality annotations specifically for AI prompts, ensuring models understand context. Data Labelers perform similar tasks but may work on broader datasets. Both roles require attention to detail and are vital in AI development, often overlapping but with different emphasis on prompt-specific annotation versus general data labeling.

How to become an AI data annotation?

To become an AI data annotation specialist, you should develop strong attention to detail, basic computer skills, and familiarity with annotation tools such as Labelbox or CVAT. Many roles require no formal degree, but understanding of data labeling processes and the ability to follow guidelines are essential. Training is often provided by employers, and the job can involve flexible or part-time schedules.

Is data annotation real or fake?

Data annotation is a real and essential process in AI development where human annotators label data such as images, text, or audio to train machine learning models. It involves accurately tagging data to improve model performance and is performed using specialized tools and guidelines.

What do AI data annotators do?

AI data annotators label and categorize data such as images, videos, text, or audio to help train machine learning models. They use specialized tools to add tags, bounding boxes, or transcriptions, ensuring data quality and consistency for AI development.

How much does data annotation AI pay?

Data annotation AI jobs typically pay between $10 and $20 per hour, depending on experience, complexity of tasks, and the platform or company. Some roles may offer project-based pay or part-time schedules, with higher rates for specialized skills or advanced tools usage.
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Prompt Data Annotation Ai jobs near you

Senior Imagery Analyst (Data Annotation)

Maxar

Falls Church, VA

$91K - $115K/yr

Full-time

Retirement

Posted 11 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

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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.

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