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Data Labeling Jobs in Reston, VA (NOW HIRING)

Viatris

Senior Labeling Specialist

Washington, DC

$55K - $105K/yr

Ability to review Company Core Data Sheets and assess the impact to the US Prescribing Information and associated labeling documents. * Interacts with multiple departments within Company, as well as ...

Steampunk

Data Scientist (Generative AI)

Mclean, VA

$125K - $160K/yr

Overview We are looking for seasoned Data Scientist to work with our existing team of Data ... 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 ...

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 · On-site

$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 · 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 ...

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 ...

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All JobsData Labeling JobsData Labeling Jobs in Reston, VA

Data Labeling information

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 Reston, VA? The most popular types of Data Labeling jobs in Reston, VA are:
What job categories do people searching Data Labeling jobs in Reston, VA look for? The top searched job categories for Data Labeling jobs in Reston, VA are:
What cities near Reston, VA are hiring for Data Labeling jobs? Cities near Reston, VA with the most Data Labeling job openings:
Data Labeling jobs near you
Infographic showing various Data Labeling job openings in Reston, VA as of June 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Exploitation Specialist/Data Scientist- Senior

GRVTY

Falls Church, VA • On-site

Other

Posted 10 hours ago

Job description

What Impact You'll Have

GRVTY is seeking a motivated and experienced Data scientist experience processing and analyzing large datasets, who will use their technical knowledge, experience, and customer-centric focus to create and deliver world-class analytic processes, scripting solutions, and data modeling content. This is a mission-driven opportunity to support the DoD and Intelligence Community. The Data Scientist will coordinate with our clients to understand questions and issues involving the client's datasets, then determine the best method and approach to create data-driven solutions within program guidelines. This position will be relied upon as a Subject Matter Expert (SME), and be expected to lead/assist in the development of automated processes, architect data science solutions, automated workflows, conduct analysis, use available tools to analyze data, remain adaptable to mission requirements, and identify patterns to help solve some of the complex problems that face the DoD and Intelligence Community (IC).

What You'll be Owning

  • Data Architecture & ETL Pipeline Construction
    • Design and implement robust database tables and schemas tailored for novel sensor data.
    • Build end-to-end Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) data pipelines.
    • Establish automated data health monitoring, validation checks, and system alerts to detect pipeline anomalies.
  • API Integration & Cross-Platform Interoperability
    • Develop secure, scalable workflows to automate API-based data movement across disparate data platforms.
    • Ensure full alignment with government-mandated data governance protocols, standardized schemas, and transmission formats.
  • Impact Analysis & System Integration
    • Conduct technical impact assessments on how novel data metadata, structures, and formats interact with existing production pipelines.
    • Identify potential bottlenecks or system regressions when modifying active databases, schemas, or ingestion endpoints.
  • Geospatial & Imagery Pre-processing
    • Standardize and format raw sensor data to make it immediately viable for downstream data labeling and machine learning model testing.
    • Perform complex geospatial manipulations, including converting file format types, orthorectification, and chipping (tiling large imagery into specific pixel sizes or geospatial bounds).

What You Must Have

  • Active TS/SCI Clearance with the ability to obtain a CI/Poly
  • 4+ years of experience working with SQL or NoSQL databases and cloud architectures
  • Experience leveraging APIs to query systems and migrate data
  • Excellent written and verbal communication skills to articulate challenging technical concepts to both lay and expert audiences.
  • Experience with programming languages such as Python, JavaScript, or Java
  • Experience developing and sustaining operational data pipelines supporting multiple data formats and interfaces.

What Would be Nice to Have

  • Experience working with NGA IT enterprise solutions , Government Authority to Operate (ATO) processes, and Government Non-Person Entity (NPE) certificates
  • Experience implementing processes, standards, and tools within an organization based on the Scaled Agile Framework for Enterprise.
  • Experience developing dynamic visualizations to monitor availability, currency and volumetrics of operational data pipelines

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