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Data Labeler Jobs in Virginia (NOW HIRING)

Robustware

Data Governance Engineer

Arlington, VA

Experience * 6-12+ years in Data Governance / Metadata Engineering / Data Platform governance ... Classification rules, sensitivity labels, glossary, lineage settings * Enable Fabric integration ...

Insight Global

Data Center Technician

Sterling, VA · On-site

$18 - $24/hr

Ability to read and follow structured cabling drawings and labeling standards * Comfortable working in live data center environments * Basic troubleshooting experience for cabling and connectivity ...

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How much do data labeler jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for data labeler in Virginia is $13.85, according to ZipRecruiter salary data. Most workers in this role earn between $12.40 and $15.24 per hour, depending on experience, location, and employer.

What is a data labeler job?

A data labeler is responsible for reviewing and annotating data such as images, videos, or text to help train machine learning models. The job typically involves using specialized tools and requires attention to detail and accuracy. Data labelers often work remotely and may need basic computer skills and understanding of data privacy.

What is a Data Labeler job?

A Data Labeler is responsible for annotating and categorizing data, such as images, text, audio, or video, to train machine learning models. This involves tasks like adding tags, marking objects, or verifying data accuracy based on specific guidelines. Their work is essential for improving AI models in areas like speech recognition, computer vision, and natural language processing. Attention to detail and accuracy are crucial in this role.

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. Many positions are remote and may offer flexible schedules, with some roles paying per project or task rather than hourly.

Which 3 jobs will survive AI?

Data labelers are likely to be replaced by AI automation as machine learning models improve in data annotation tasks. Jobs that require complex human judgment, such as healthcare professionals, mental health counselors, and skilled tradespeople, are expected to persist. Roles involving creativity, emotional intelligence, and strategic decision-making will also remain in demand despite AI advancements.

What does a typical day look like for a Data Labeler and how do team interactions work?

As a Data Labeler, your day typically involves reviewing, categorizing, and annotating large volumes of data such as images, text, or audio according to set guidelines. You’ll often work independently but may participate in regular team check-ins to discuss project updates, clarify instructions, or resolve ambiguous cases. Collaboration with data scientists or project managers is common when feedback or clarification is needed, ensuring consistency and quality across the labeled dataset. Over time, high-performing data labelers may transition into roles such as quality assurance reviewer or team lead. The work is detail-oriented and repetitive but is essential in powering reliable artificial intelligence and machine learning applications.

How much does Tesla pay data labelers?

Tesla data labelers typically earn between $15 and $25 per hour, depending on experience and location. The role involves annotating data for autonomous vehicle training and may require familiarity with labeling tools and attention to detail.

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

To thrive as a Data Labeler, you need strong attention to detail, proficiency in data entry, and a basic understanding of computer operations, often supported by a high school diploma or equivalent. Experience with annotation platforms, labeling tools, or specific data management software is valuable and may be required for some roles. Effective time management, patience, and the ability to follow detailed instructions are standout soft skills in this position. These skills ensure the accurate and efficient preparation of high-quality datasets, which are crucial for training reliable machine learning models.

What are the most commonly searched types of Data Labeler jobs in Virginia? The most popular types of Data Labeler jobs in Virginia are:
What are popular job titles related to Data Labeler jobs in Virginia? For Data Labeler jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Data Labeler jobs in Virginia look for? The top searched job categories for Data Labeler jobs in Virginia are:
What cities in Virginia are hiring for Data Labeler jobs? Cities in Virginia with the most Data Labeler job openings:
Data Labeler jobs near you
Data Center Deployment Technician II

Data Center Deployment Technician II

Total Deployment Solutions

Sterling, VA • On-site

Full-time

Posted 4 days ago

Job description

About Total Deployment Solutions
Total Deployment Solutions (TDS) is a nationwide information technology services provider with 14 years of experience delivering innovative, business-critical solutions. We specialize in AI and GPU deployments, comprehensive data center support, IMAC services - desktop relocation, ensuring organizations transition seamlessly into new or evolving work environments. Our teams manage every detail, from workstation setup to ongoing desktop support, so clients can operate without disruption. Trusted by enterprise and data center partners, TDS continues to lead and adapt to the evolving technology landscape with a focus on reliability, precision, and long-term partnership.
About Sterling, VA
Sterling benefits from its position within Northern Virginia's rapidly growing technology corridor. The area is closely tied to the region's strong technical economy, with nearby data centers, government contractors, and technology firms driving consistent demand for skilled IT professionals. Sterling offers competitive wages that align with the region's high median household income, helping offset living expenses. Residents enjoy access to modern amenities, strong infrastructure, and proximity to Washington, D.C., making Sterling an attractive location for both career growth and quality of life.
Position Overview
The Data Center Deployment Technician II is a mid-level role requiring 2-3 years of hands-on data center experience. This position is responsible for the full lifecycle of structured cabling tasks, including labeling, bundling, dressing, porting, and Quality Control / Quality Assurance for fiber optic and copper cabling.
Data Center Deployment Technician II team members are expected to work independently, follow client standards, and support project leadership by ensuring work is completed accurately and efficiently. This role also supports and mentors Level I technicians as needed.
Key Responsibilities
  • Perform end-to-end labeling of fiber optic and copper cables in accordance with client standards and drawings.
  • Bundle, dress, and route cables to meet data center best practices and client specifications.
  • Port and connect cables to panels, switches, and hardware per design documentation.
  • Ensure proper cable management, bend radius, slack, and overall presentation.
  • Perform QC/QA checks on assigned work to confirm:
  • Accurate and consistent labeling at both ends.
  • Correct port placement per documentation.
  • Proper cable dressing, routing, and bundling.
  • No visible cable damage, breaks, or compromised jackets.
  • Identify, document, and report discrepancies or issues to project leadership.
  • Work independently or as part of a team to meet project schedules.
  • Provide guidance and on-the-job support to Level I technicians.
  • Maintain a clean, organized work area that meets client and safety standards.
  • Follow all site safety protocols and PPE requirements

Qualifications
  • High school diploma or equivalent.
  • 2-3 years of hands-on data center experience.
  • Proven experience with fiber optic and copper structured cabling.
  • Experience labeling, bundling, dressing, and porting cables in live or production data center environments.
  • Ability to read and follow drawings, scope documents, and labeling standards.
  • Strong attention to detail and commitment to quality workmanship.
  • Ability to lift up to 50 lbs and work in data center environments (raised floors, equipment aisles).

Preferred (Not Required):
  • OSHA 10 certification.
  • Experience working in large-scale or enterprise data centers.
  • Prior experience mentoring junior technicians.
  • Military, trade school, or technical training background.

Why Join TDS?
  • Mid-level role with hands-on technical ownership., and increased responsibility
  • Clear growth path within deployment and project teams.
  • On-the-job training and mentorship.
  • Opportunity to work on large-scale, enterprise data center projects.

Job Type: PROJECT BASED - W2
Schedule: 8 AM - 5 PM, Monday through Friday. Please note that the schedule may fluctuate depending on client needs.
Ability to Commute:
  • Sterling, VA

Work Location: In-person

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