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Data Labeling Jobs in Virginia (NOW HIRING)

SOSi

Machine Learning Engineer- Senior

Chantilly, VA

$125K - $165K/yr

Understanding of how to craft prompts for discrete tasks such as data labeling and processing. * Experience with asynchronous Python development using frameworks like Ray and FastAPI. * Experience ...

AIToolboard

Machine Learning Engineer- Senior

Chantilly, VA · On-site

$125K - $165K/yr

Understanding of how to craft prompts for discrete tasks such as data labeling and processing. • Experience with asynchronous Python development using frameworks like Ray and FastAPI. • ...

Novul Solutions

Data Architect - TS/SCI

Rosslyn, VA · On-site

$72.75 - $93.75/hr

This role focuses heavily on data tagging, labeling, governance, lifecycle management, and compliance across the DoW SAP enterprise. The ideal candidate will have strong experience designing and ...

Unissant

Data Scientist

Ashburn, VA · On-site

$99K - $164K/yr

We are seeking a Data Scientist to join our team and support our client in Ashburn, VA. The ideal ... Extract, clean, transform, label, annotate, and interpret image, biometric, transactional, and ...

UNISSANT

Data Scientist

Ashburn, VA · On-site

We are seeking a Data Scientist to join our team and support our client in Ashburn, VA. The ideal ... Extract, clean, transform, label, annotate, and interpret image, biometric, transactional, and ...

Unissant

Data Scientist

Ashburn, VA · On-site

$99K - $164K/yr

We are seeking a Data Scientist to join our team and support our client in Ashburn, VA. The ideal ... Extract, clean, transform, label, annotate, and interpret image, biometric, transactional, and ...

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All JobsData Labeling JobsData Labeling Jobs in Virginia

Data Labeling information

What is data labeling?

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 the key skills and qualifications needed to thrive in data labeling, 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.

How can I get started in data labeling?

To get started in data labeling, you should develop basic skills in data annotation tools and understand labeling guidelines for different data types such as images, text, or audio. Many entry-level positions require attention to detail and sometimes a background in relevant fields like computer science or linguistics; online courses and practice datasets can help build your skills. Additionally, creating a strong profile on job platforms and applying to companies that offer remote or flexible data labeling roles can increase your chances of starting in this field.

How much do data labelers make?

Data labelers typically earn between $10 and $20 per hour, depending on experience, complexity of tasks, and the platform or employer. Some may work as freelancers or part-time, with pay rates varying accordingly.

Is data labeling a good career?

Data labeling is a growing field that involves annotating data for machine learning models, often requiring attention to detail and familiarity with tools like labeling platforms. It can offer flexible schedules and entry-level opportunities, but typically provides lower pay compared to other tech roles and may lack long-term career advancement without additional skills. Overall, it can be a suitable starting point for those interested in AI and data science, but may not be ideal as a long-term career without further development.

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 or software, and may be performed remotely or in a team environment.

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:

What job categories do people searching Data Labeling jobs in Virginia look for?

The top searched job categories for Data Labeling jobs in Virginia are:

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
Infographic showing various Data Labeling job openings in Virginia as of September 2026, with employment types broken down into 62% Full Time, and 38% Contract. Highlights an 100% In-person job distribution.

Machine Learning Engineer- Senior

Chantilly, VA

SOSi
See more jobs at SOSiexternal

$125K - $165K/yr

Full-time

Re-posted 25 days ago

Job description

Company Description

Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide.

Job Description

Overview

SOSi is seeking a skilled Machine Learning Engineer to support a US government customer in Chantilly, VA. In this job you will work with other talented data scientists, software developers, and SMEs to apply the best practices and state of the art data science and machine learning processes. This role requires the ability to solve complex problems independently and collaboratively in a dynamic work environment. Strong communication skills are essential for translating technical concepts to non-technical stakeholders and delivering actionable insights.

Essential Job Duties

  • Leverage data science and machine learning processes to answer mission challenges.
  • Develop and iterate rapid prototype solutions, leveraging open-source models and technologies where possible
  • Flexibility to support topics such as object detection, data triage, search/optimization, image/video analysis, facial recognition, behavior detection, and automated discovery. 
  • Apply excellent problem-solving skills to address technical challenges, both independently and as part of a team in a fast-paced environment.
  • Comprehend project requirements and execute tasks accordingly, ensuring alignment with project goals and timelines.
  • Effectively communicate technical concepts and deliver results to non-technical leadership and stakeholders, facilitating informed decision-making.
Qualifications

Minimum Requirements

  • Existing TS/SCI (with poly).  This security clearance requires U.S. citizenship. Candidates will not be nominated for new clearances.
  • Minimum 5 years of experience in a data science/engineer role.
  • Experience developing and using agentic AI frameworks including Autogen. 
  • Experience with prompt engineering beyond traditional code writing and debugging. Understanding of how to craft prompts for discrete tasks such as data labeling and processing.  
  • Experience with asynchronous Python development using frameworks like Ray and FastAPI. 
  • Experience developing and deploying AI/ML models as part of production systems, implementing software development best practices for scalability and reliability.  
  • Experience developing and applying advanced machine learning methods including clustering, regression, optimization, recommender engines, and artificial neural networks. 
  • Deploying models into multi-node Ray clusters utilizing various GPU resources. 
  • Experience with developing and deploying resources to cloud environments.  
  • Experience working in Linux and Windows environments and managing resources for efficiency. 
  • Demonstrated ETL expertise.

Preferred Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or a related field; OR equivalent experience.
  • Experience in the US Intelligence Community.
Additional Information

Work Environment

  • Office setting with a combination of desk work and meetings.

Working at SOSi

All interested individuals will receive consideration and will not be discriminated against for any reason.

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