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Data Labelling Jobs in Virginia (NOW HIRING)

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Data Center Technician

Manassas, VA · On-site

$23 - $27/hr

Dressing, labeling and terminating low voltage wires * Installing support structures (ladder racks, racks, switches, servers, j-hooks, cable trays, basket trays, etc.) * Terminating voice and data ...

Follow labeling standards and structured cabling practices * Trace cables end to end using ... Experience with data center hardware installation, removal, and replacement * Knowledge of rack and ...

Follow labeling standards and structured cabling practices * Trace cables end to end using ... Experience with data center hardware installation, removal, and replacement * Knowledge of rack and ...

Follow labeling standards and structured cabling practices * Trace cables end to end using ... Experience with data center hardware installation, removal, and replacement * Knowledge of rack and ...

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Data Labelling information

See Virginia salary details

$45.6K

$163.6K

$241.4K

How much do data labelling jobs pay per year?

As of May 29, 2026, the average yearly pay for data labelling in Virginia is $163,603.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,400.00 and $168,500.00 per year, depending on experience, location, and employer.

What is a Data Labelling job?

A Data Labelling job involves annotating data, such as text, images, audio, or video, to help train machine learning models. Labelers categorize or tag data by following specific guidelines to ensure accuracy and consistency. This process is essential for improving AI applications, including image recognition, natural language processing, and autonomous systems. Attention to detail and adherence to instructions are key skills required for this role.

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

To thrive as a Data Labelling professional, you need strong attention to detail, proficiency with data annotation processes, and a basic understanding of machine learning concepts. Familiarity with annotation tools like Labelbox, Supervisely, or Amazon SageMaker Ground Truth is often required, and some roles may value certifications in data processing or AI fundamentals. Reliability, patience, and the ability to follow precise instructions are important soft skills for success in this position. These skills ensure accurate and consistent data labeling, which is critical for developing effective AI models and maintaining data integrity.

What are the typical daily responsibilities of a Data Labelling professional?

Data Labelling professionals are generally responsible for reviewing and accurately annotating large volumes of data—such as images, audio, video, or text—to support machine learning and AI projects. This often involves using specialized labeling platforms and following detailed guidelines provided by data scientists or project managers. You may also participate in regular team meetings to discuss quality standards or address ambiguities in data, and your work is typically reviewed for accuracy before being integrated into training datasets. Collaborating with other data annotators, engineers, and analysts is a common part of the process to ensure consistency and high-quality results.
What are the most commonly searched types of Data Labelling jobs in Virginia? The most popular types of Data Labelling jobs in Virginia are:
What job categories do people searching Data Labelling jobs in Virginia look for? The top searched job categories for Data Labelling jobs in Virginia are:
What cities in Virginia are hiring for Data Labelling jobs? Cities in Virginia with the most Data Labelling job openings:
Infographic showing various Data Labelling job openings in Virginia as of May 2026, with employment types broken down into 84% Full Time, and 16% Contract. Highlights an 90% In-person, 5% Hybrid, and 5% Remote job distribution, with an average salary of $163,603 per year, or $78.7 per hour.

Senior Data Engineer with Security Clearance

Cornerstone Defense

Fairfax, VA

$108.50K - $147.40K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday


Job description

Senior Data Engineer Tysons Corner, VA Active TS/SCI with Poly Company Overview: Cornerstone Defense is the Employer of Choice within the Intelligence, Defense, and Space communities of the U.S. Government. Realizing early on that our most prized assets are our employees, we continually focus our attention on improving the overall work/life experience they have supporting the mission.

Our Team is pushed every day to use their industry leading knowledge to provide end-to-end solutions to combat our nation's toughest and most secure problems. If you are looking for a place to not only be professionally challenged, but encouraged and supported by a company that cares, don't look any further than Cornerstone Defense. Job Responsibilities: * Work with AI team members to operationalize data pipelines and ML tasks.

* Provide day-to-day support of deploying Python-native ML pipelines and perform data engineering tasks to enable AI/ML capabilities. * Present results to a diverse audience in presentation or report form. * Support architectural leadership, technical support, and advisement services to ensure identity management system technologies are integrated and meeting the appropriate security requirements.

* Support leadership who engage with senior level executives at a public facing Federal agency and provide subject matter expertise in security architecture and other key domain areas. Required Skills: * Minimum 10 years experience * Bachelors Degree in Computer Science, Information Technology Management or Engineering, or other comparable degree or experience * 8+ years of experience in Data/ML engineering * Expert Experience with ETL, data labeling, and data preparation * 8+ years experience with at least 2 of the following technologies: Cloudera, DataBricks, Snowflake, NiFi, Python, SQL, Kafka * Expert experience designing, developing, and deploying data solutions in classified AWS cloud environments up to IL6+ * Expert experience designing, implementing, and maintaining data architecture and services to be used for AI/ML. Additionally, operationalizing and maintaining AI/ML models in production.

* Strong communication skills, ability to communicate technical concepts in both layman and technical terms to technical and non-technical stakeholders * Ability to perform data analytics on program related or system related activities. -This will include assessing performance and manual processes implementing methods/algorithms to automate/optimize Company Benefits: Cornerstone Defense offers a comprehensive list of benefits, designed to give employees and their families several options to choose from when selecting benefits that best fit their needs. These offerings include not only a full suite of the traditional Medical/Dental/Vision insurances, but also a number of other benefits and perks to include, but not limited to: A 401(K) plan with a company match, tuition and training assistances, paid vacation/leave, a fitness reimbursement program, college savings plan, commuter benefits, financial advisory services, flex spending accounts, health savings accounts, STD/LTD coverage, life and AD&D insurance, employee assistance programs, life financial planning assistance, and legal resources.