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Data Annotation No Experience Needed Jobs in Silver Spring, MD

CaseGuard

Data Annotation Specialist

Arlington, VA · On-site

$40K - $50K/yr

We are seeking a detail-oriented Data Entry to support data preparation initiatives. This role is ... needs in one easy-to-use redaction software. CaseGuard Studio is one of its kind. Our team is ...

CaseGuard

Data Annotation Specialist

Arlington, VA

$40K - $50K/yr

We are seeking a detail-oriented Data Entry to support data preparation initiatives. This role is ... needs in one easy-to-use redaction software. CaseGuard Studio is one of its kind. Our team is ...

Fast Growing Roofing Company

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Construction Sales Representative- No Experience Needed

Lorton, VA · On-site

$150K - $350K/yr

Construction Sales Representative- No Experience Needed EARN $150K-$350K+ ANNUALLY SALES EXPERIENCE REQUIRED TRAINING PROVIDED Responsibilities * Canvass neighborhoods to identify homes with ...

Lyft

Drive with Lyft - No Experience Needed

Elkridge, MD · On-site

$400/hr

No experience is needed, but you may be a great fit if you have experience in the public or private transportation industry such as a delivery driver, professional driver, chauffeur, luxury driver ...

Lyft

Drive with Lyft - No Experience Needed

Odenton, MD · On-site

$400/hr

No experience is needed, but you may be a great fit if you have experience in the public or private transportation industry such as a delivery driver, professional driver, chauffeur, luxury driver ...

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All JobsData Annotation Needed JobsData Annotation No Experience Needed JobsData Annotation No Experience Needed Jobs in Silver Spring, MD

Data Annotation No Experience Needed information

What is data annotation and can I do it without experience?

Data annotation is the process of labeling or tagging data, such as images, text, or audio, to help train artificial intelligence and machine learning models. Many data annotation jobs require little to no prior experience, as employers often provide training on the specific tools and guidelines needed for the work. These jobs are ideal for beginners looking to enter the tech field, as they typically require attention to detail and basic computer skills. With consistent work, data annotators can build valuable experience for more advanced roles in data science and AI.

Is DataAnnotation real or fake?

Data annotation is a legitimate job that involves labeling data such as images, text, or audio to help train machine learning models. It is often entry-level and requires attention to detail, with many companies offering remote positions that do not require prior experience.

What is the difference between Data Annotation No Experience Needed vs Data Labeler?

AspectData Annotation No Experience NeededData Labeler
Required CredentialsNo prior experience or certifications typically requiredOften similar, minimal credentials needed
Work EnvironmentRemote or office-based, flexible hoursPrimarily remote, task-based work
Industry UsageCommon in AI, machine learning, and data processing companiesUsed in AI, autonomous vehicles, and tech sectors
Search & Comparison IntentPeople seeking entry-level data annotation rolesIndividuals comparing entry-level data labeling jobs

Data Annotation No Experience Needed and Data Labeler roles are similar, both requiring minimal or no prior experience. They are commonly found in AI and machine learning industries, often offering remote work. The main difference lies in terminology; 'Data Labeler' is a more specific job title within data annotation tasks. Both roles are suitable for beginners looking to start a career in data processing and AI training.

Does DataAnnotation actually pay?

Data annotation jobs typically pay hourly or per task rates, with many companies offering compensation once you complete the required training or qualification steps. Payment is usually processed through direct deposit or online platforms, and earnings can vary based on the complexity of the annotations and the employer's pay structure.

Is it hard to get hired for DataAnnotation?

Getting hired for data annotation roles typically does not require prior experience and often involves simple tasks like labeling images or text. Employers usually look for attention to detail and basic computer skills, making it accessible for beginners without specialized certifications.

What does a typical workday look like for someone starting out in a data annotation role with no prior experience?

For those new to data annotation, a typical workday involves reviewing and labeling large sets of data—such as images, audio, or text—according to specific guidelines provided by the employer or client. You’ll likely work as part of a remote or distributed team, using specialized software tools to complete your tasks. While the work is often independent, you may participate in occasional team meetings or training sessions to clarify guidelines and improve accuracy. Consistency and attention to detail are crucial, and feedback from supervisors will help you refine your skills. Over time, demonstrating accuracy and reliability can open opportunities for more complex projects or advancement within the team.

Can you work for DataAnnotation with no experience?

Data annotation jobs often do not require prior experience, as training is typically provided to teach the necessary skills. Basic computer literacy and attention to detail are usually sufficient to start, making these roles accessible for beginners. However, some positions may prefer or require familiarity with specific tools or platforms used for data labeling.

What are the key skills and qualifications needed to thrive as a Data Annotation specialist with no prior experience, and why are they important?

To thrive as a Data Annotation specialist with no prior experience, attention to detail, basic computer literacy, and the ability to follow guidelines are essential. Familiarity with annotation tools or platforms (such as Labelbox or SuperAnnotate) and basic understanding of data privacy protocols are often required. Strong organizational skills, patience, and clear communication help individuals excel in repetitive tasks and collaborate with team members or project leads. These skills and qualities are critical for maintaining high data quality and ensuring annotated datasets are accurate for downstream machine learning applications.
What are popular job titles related to Data Annotation No Experience Needed jobs in Silver Spring, MD? For Data Annotation No Experience Needed jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Data Annotation No Experience Needed jobs in Silver Spring, MD look for? The top searched job categories for Data Annotation No Experience Needed jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Data Annotation No Experience Needed jobs? Cities near Silver Spring, MD with the most Data Annotation No Experience Needed job openings:
Data Annotation No Experience Needed jobs near you
Infographic showing various Data Annotation No Experience Needed job openings in Silver Spring, MD as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Senior Imagery Analyst (Data Annotation)

Maxar

Falls Church, VA • On-site

$91K - $115K/yr

Full-time

Retirement

Re-posted 19 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.

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