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Data Labeling Jobs in Virginia (NOW HIRING)

Redhorse Corporation

Data Scientist

Arlington, VA · On-site +1

Data Scientist with 4 years of experience including experience in applied NLP, data labeling, entity or keyword extraction, and related topics. * Understanding of Weibull distribution and use for ...

Steampunk

Data Scientist (Generative AI)

Mclean, VA

$125K - $160K/yr

We are looking for seasoned Data Scientist (Generative) to work with our existing team of Data ... Identify, clean, label, and synthesize high-quality datasets for model training, fine-tuning, or ...

Peraton

Data Architect, SME

Herndon, VA · On-site

$146K - $234K/yr

Establish secure cross-domain data exchange strategies, data labeling/releasability controls, and defensible data sharing patterns supporting SOC, CIRT, threat intelligence, and vulnerability ...

Peraton

Data Architect, SME

Herndon, VA

$146K - $234K/yr

Establish secure crossdomain data exchange strategies, data labeling/releasability controls, and defensible data sharing patterns supporting SOC, CIRT, threat intelligence, and vulnerability ...

Steampunk

Data Scientist (Generative AI)

Mclean, VA · On-site +1

$125K - $160K/yr

We are looking for a more than just a "Data Scientist", but a technologist with excellent ... Identify, clean, label, and synthesize high-quality datasets for model training, fine-tuning, or ...

Steampunk

Data Scientist (Generative AI)

Mclean, VA · On-site

$125K - $160K/yr

We are looking for a more than just a "Data Scientist", but a technologist with excellent ... Identify, clean, label, and synthesize high-quality datasets for model training, fine-tuning, or ...

Peraton

Data Architect, SME

Herndon, VA · On-site

$146K - $234K/yr

Establish secure crossdomain data exchange strategies, data labeling/releasability controls, and defensible data sharing patterns supporting SOC, CIRT, threat intelligence, and vulnerability ...

Peraton

CDES Lead/Cross Domain SME

Herndon, VA

$112K - $179K/yr

Conduct technical risk assessments, validate data flow diagrams, and enforce data labeling/releasability and needtoshare policies. * Lead accreditation/ATO activities: produce security authorization ...

Peraton

CDES Lead/Cross Domain SME

Herndon, VA · On-site

$112K - $179K/yr

Conduct technical risk assessments, validate data flow diagrams, and enforce data labeling/releasability and needtoshare policies. * Lead accreditation/ATO activities: produce security authorization ...

Peraton

CDES Lead/Cross Domain SME

Herndon, VA · On-site

$112K - $179K/yr

Conduct technical risk assessments, validate data flow diagrams, and enforce data labeling/releasability and need-to-share policies. * Lead accreditation/ATO activities: produce security ...

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Data Labeling information

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$10

$23

$56

How much do data labeling jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for data labeling in Virginia is $23.84, according to ZipRecruiter salary data. Most workers in this role earn between $15.66 and $27.35 per hour, depending on experience, location, and employer.

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

To thrive in Data Labeling, you need meticulous attention to detail, strong analytical abilities, and basic computer literacy, often supported by a high school diploma or equivalent. Familiarity with data annotation tools, image or text editing software, and experience with platforms like Labelbox or Amazon SageMaker Ground Truth are commonly advantageous. Exceptional concentration, patience, and the ability to follow precise instructions are valuable soft skills in this position. These skills and qualities are essential for ensuring the accuracy and consistency of labeled datasets, which are critical for training reliable AI and machine learning models.

What is a Data Labeling job?

A Data Labeling job involves annotating or tagging data, such as images, text, audio, or videos, to help train machine learning models. Labelers follow specific guidelines to classify data accurately so that AI systems can learn patterns and make predictions. This role is essential in fields like computer vision, natural language processing, and speech recognition. Strong attention to detail and consistency are crucial for ensuring high-quality training datasets.

What are the typical day-to-day responsibilities of a Data Labeling professional?

A Data Labeling professional is primarily responsible for reviewing and accurately tagging images, text, audio, or video data according to specified guidelines. Daily tasks often include managing large datasets, using annotation software to classify data, and verifying the quality and accuracy of the labels. Collaboration with data scientists, project managers, and other annotators is common, especially when clarifying labeling guidelines or resolving ambiguities. Attention to detail is crucial, as high-quality labeled data directly impacts the effectiveness of machine learning models and AI applications. Most positions are structured in team environments, where productivity and communication skills help ensure project deadlines are met.

What are data labeling jobs?

Data labeling jobs involve annotating or tagging data such as images, text, or videos to help train machine learning models. These roles typically require attention to detail and familiarity with labeling tools, and may be performed remotely or in a controlled environment.

How much are data labelers paid?

Data labelers typically earn between $10 and $20 per hour, depending on experience, location, and the complexity of the labeling tasks. Some positions may offer freelance or project-based pay, with rates varying accordingly.

Is data labeling hard?

Data labeling can be challenging depending on the complexity of the data and the accuracy required. It often involves attention to detail, understanding of the data context, and sometimes the use of labeling tools or software. The difficulty varies based on the project and the level of expertise needed.

Is data labelling a good career?

Data labeling is a foundational role in machine learning and AI development, involving annotating data to improve model accuracy. It often requires attention to detail, basic technical skills, and can offer flexible schedules, but typically has lower entry barriers and pay compared to more advanced tech roles.
What are the most commonly searched types of Data Labeling jobs in Virginia? The most popular types of Data Labeling jobs in Virginia are:
What are popular job titles related to Data Labeling jobs in Virginia? For Data Labeling jobs in Virginia, the most frequently searched job titles are:
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What cities in Virginia are hiring for Data Labeling jobs? Cities in Virginia with the most Data Labeling job openings:
Data Labeling jobs near you
Data Scientist

Data Scientist

Redhorse Corporation

Arlington, VA • On-site, Remote

Full-time

Posted 16 days ago

Job description

Data Scientist
About the Organization
Now is a great time to join Redhorse Corporation. Our mission is to change the way government interacts with and uses data and technology. Our purpose is to help government to better serve its citizens. Redhorse Corporation offers a proven approach to mission-focused innovation. Design thinking helps us understand customer problems and develop better ways to solve them. Lean Startup lets us turn those ideas into business models that work, quickly and for the least cost. Our world class data scientists wring the value from data, and Agile helps us deliver solutions quickly and incrementally, building exactly what is needed, as fast as possible. We are hiring creative, motivated and talented people with a passion for doing what’s right, what’s smart, and what works.

Position Description
Redhorse Corporation (Redhorse) is seeking an exceptional leader to serve as a Data Scientist for the Conditions Based Maintenance (CBM+) Program. The Senior Analyst will serve on a four-member Agile Data Science delivery team performing predictive maintenance and predictive logistics model development and forecasting work on the government-provided PANDA platform. The Senior Analyst will mentor junior analysts in the areas of NLP related to automated or semi-automated data extraction and other elements of model development and will be the first line quality control check for data cleaning, WUC analyses, NLP models and resulting forecasts. This position will be based in our National Capital Region offices in the Rosslyn neighborhood of Arlington, VA, with opportunities for remote work to be determined by the program manager and customer.
Essential Functions:
  • Delivery Teams will each be responsible for a subset of assigned aircraft platforms and respective work unit codes (WUCs) within an Aircraft Group. Delivery Teams are primarily responsible for data analysis/data science work supporting the following functions:
    • Sustain existing WUC predictive failure models
    • Support selection and analysis of new WUC predictive failure models
    • Field newly approved WUC predictive failure models
    • Generate monthly enhanced reliability centered maintenance forecasts for assigned WUCs
    • Generate and maintain a long-range supply forecast utilizing Monte Carlo simulation for assigned WUCs
    • Participate in user and stakeholder engagements and technical discussions
    • Gather and provide feedback on best practices and recommended enhancements to the platform
    • Document work performed in technical reports
Minimum Basic Requirements for Skills, Experience, Education and Credentials include:
  • Bachelor’s degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent professional or military experience.
  • Data Scientist with 4 years of experience including experience in applied NLP, data labeling, entity or keyword extraction, and related topics.
  • Understanding of Weibull distribution and use for modeling part failures
  • Proven ability to drive key client communication and expectations
  • Experience engaging clients and developing relationships at the highest levels of the Federal Government
  • Strong communication skills and ability to understand business functionality
  • Ability to foster positive business relationships
  • Proven leadership abilities
  • Excellent communication and interpersonal skills
  • Experience working with office productivity software, such as Microsoft Office suite, including Word, Excel, PowerPoint and file sharing applications.
  • Able to travel as needed to meet with government customers and stakeholders
Preferred Qualifications include:
  • Advanced degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent professional or military experience.
  • Active Secret Clearance
  • Experience with Predictive Maintenance / Logistics
  • Experience with sensor-based failure predictions and modeling
  • Experience with Monte-Carlo simulation and calculation of confidence levels
Executive Order Requirement:
In accordance with Executive Order 14042 as a Federal Contractor Redhorse requires all U.S. new hires to be fully vaccinated for COVID-19 by December 8, 2021 or prior to the first date of employment, whichever is later. As required by the Executive Order, Redhorse will work in coordination with applicable contract agencies to consider requests for Reasonable Accommodations.
Redhorse Corporation shall, in its discretion, modify or adjust the position to meet Redhorse’s changing needs.
This job description is not a contract and may be adjusted as deemed appropriate in Redhorse’s sole discretion.
EOE/M/F/Vet/Disabled

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