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Home Based Data Annotation Jobs in Virginia (NOW HIRING)

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Home Based Data Annotation information

Can I do data annotation with no experience?

Home Based Data Annotation jobs often do not require prior experience, as training is typically provided. Basic computer skills and attention to detail are usually sufficient to start, making it accessible for beginners. Familiarity with annotation tools can be helpful but is not always mandatory.

Is it hard to get hired for data annotation?

Home Based Data Annotation jobs typically have moderate competition, and hiring depends on the applicant's attention to detail, accuracy, and ability to follow guidelines. Many positions require basic computer skills and sometimes prior experience with annotation tools, but they often do not demand formal certifications. Candidates who demonstrate reliability and precision have good chances of being hired.

Is data annotation a legitimate job?

Data annotation is a legitimate job that involves labeling data such as images, text, or audio to help train machine learning models. It often requires attention to detail and basic computer skills, and many companies offer remote, flexible positions. However, job seekers should be cautious of scams and verify the legitimacy of employers before applying.

What is the difference between Home Based Data Annotation vs Data Labeler?

AspectHome Based Data AnnotationData Labeler
CredentialsBasic computer skills, attention to detailSimilar; no formal certifications typically required
Work EnvironmentRemote, home-basedRemote or in-office, depending on employer
Industry UsageAI, machine learning, tech companiesAI, machine learning, tech companies
Job TasksAnnotating data for training AI modelsLabeling data for AI training

Both roles involve labeling data for AI systems, often working remotely. Home Based Data Annotation emphasizes working from home with flexible hours, while Data Labeler may work in various environments. Both positions are essential in AI development and share similar skills and industry usage.

How to make 2000 a week working from home?

Home Based Data Annotation jobs typically pay per task or project, and earning $2000 weekly requires completing a high volume of accurately labeled data, often involving skills in image, text, or audio annotation. To reach this income level, consistent work, efficiency, and experience are essential, and some roles may offer bonuses or higher rates for specialized tasks or faster turnaround times.
What are the most commonly searched types of Data Annotation jobs in Virginia? The most popular types of Data Annotation jobs in Virginia are:
What are popular job titles related to Home Based Data Annotation jobs in Virginia? For Home Based Data Annotation jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Home Based Data Annotation jobs in Virginia look for? The top searched job categories for Home Based Data Annotation jobs in Virginia are:
What cities in Virginia are hiring for Home Based Data Annotation jobs? Cities in Virginia with the most Home Based Data Annotation job openings:
Home Based Data Annotation jobs near you

Senior Imagery Analyst (Data Annotation)

Maxar

Falls Church, VA

$91K - $115K/yr

Full-time

Retirement

Re-posted 14 hours 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.

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