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Entry Level Ai Labeling Jobs in Virginia (NOW HIRING)

Description Interpret Cable Maps & Labels: Accurately read and understand cable maps, labeling ... Experience Level Entry Level Job Type & Location This is a Contract position based out of Chantilly ...

Description Interpret Cable Maps & Labels: Accurately read and understand cable maps, labeling ... Experience Level Entry Level Job Type & Location This is a Contract position based out of Chantilly ...

Machine Operator

Chantilly, VA · On-site

$19.50/hr

Machine Operator (Second Shift, Entry Level) Location: Onsite Schedule: Third Shift (Nights), 12 ... Ensure proper labeling and organization of outgoing shipments. * Stand for 12-hour shifts and ...

Machine Operator (Second Shift, Entry Level) Location: Onsite Schedule: Third Shift (Nights), 12 ... Ensure proper labeling and organization of outgoing shipments. * Stand for 12-hour shifts and ...

Job#: 3035713 Network Engineer I (Entry-Level) Overview We are seeking a Network Engineer I to ... Structured cabling and labeling standards * Network documentation and diagram upkeep Tools ...

Entry Level Ai Labeling information

What are some common challenges faced in an entry-level AI labeling role and how can I overcome them?

One common challenge in entry-level AI labeling is maintaining consistency and accuracy while working with large volumes of data, especially when guidelines are complex or ambiguous. To overcome this, it's important to carefully review labeling instructions, ask clarifying questions when in doubt, and use any provided tools or resources to double-check your work. Time management can also be challenging, as the role may require meeting daily or weekly quotas. Collaborating with team members and participating in regular feedback sessions can help improve your efficiency and understanding of the labeling criteria.

What are the key skills and qualifications needed to thrive as an Entry Level AI Labeler, and why are they important?

To thrive as an Entry Level AI Labeler, you need strong attention to detail, basic computer literacy, and the ability to follow instructions accurately, often with a high school diploma or equivalent. Familiarity with data labeling platforms, annotation tools, and sometimes basic spreadsheet or database systems is typically required. Reliability, consistency, and effective communication are valuable soft skills that help maintain quality and efficiency. These skills ensure that labeled data is accurate and consistent, which is critical for training reliable AI models.

What is the difference between Entry Level Ai Labeling vs Data Annotation Specialist?

AspectEntry Level Ai LabelingData Annotation Specialist
Required CredentialsHigh school diploma or equivalent; basic computer skillsHigh school diploma; attention to detail
Work EnvironmentRemote or on-site; repetitive tasksRemote or on-site; similar repetitive tasks
Industry UsageAI and machine learning companiesData-driven companies across industries
Search/Comparison IntentUnderstanding entry-level roles in AI data labelingComparing roles in data annotation

Entry Level Ai Labeling and Data Annotation Specialist roles both involve labeling data for AI models, often requiring similar skills and work environments. The main difference lies in terminology; 'Data Annotation Specialist' is a broader term used across industries, while 'Entry Level Ai Labeling' emphasizes the beginner level in AI-specific data tasks. Both roles are suitable for individuals seeking entry points into AI and data industries.

What is entry level AI labeling?

Entry level AI labeling refers to the process of manually tagging or annotating data, such as images, videos, or text, to train artificial intelligence models. This job involves identifying and marking specific objects, features, or phrases according to given guidelines, which helps AI systems learn to recognize patterns and make accurate predictions. It is often considered an accessible position that requires attention to detail rather than advanced technical skills, making it suitable for individuals new to the AI or tech industry.
What are the most commonly searched types of Ai Labeling jobs in Virginia? The most popular types of Ai Labeling jobs in Virginia are:
What are popular job titles related to Entry Level Ai Labeling jobs in Virginia? For Entry Level Ai Labeling jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Entry Level Ai Labeling jobs in Virginia look for? The top searched job categories for Entry Level Ai Labeling jobs in Virginia are:
What cities in Virginia are hiring for Entry Level Ai Labeling jobs? Cities in Virginia with the most Entry Level Ai Labeling job openings:
Data Center Deployment Technician I

Data Center Deployment Technician I

Total Deployment Solutions

Sterling, VA

$17.75 - $23.50/hr

Full-time

Posted 28 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 I is an entry-level role ideal for candidates with 0–1 year of experience looking to start a career in data centers. This position is primarily responsible for labeling fiber optic and copper cables and performing basic Quality Control / Quality Assurance checks limited to labeling accuracy and cable condition.

Technicians in this role work under direct supervision and follow established client and TDS standards.

Key Responsibilities

  • Accurately label fiber optic and copper cables according to client standards, drawings, and project requirements.
  • Verify cable IDs, rack locations, and labeling consistency at both ends of the cable.
  • Perform QC/QA checks to confirm:
  • Labels are correct, legible, and properly placed.
  • Cables show no visible damage, breaks, kinks, or compromised jackets during labeling.
  • Identify and report labeling discrepancies or visible cable damage to project leadership.
  • Assist with updating labeling documentation, checklists, and redlines as required.
  • Follow all site safety requirements and wear required PPE.
  • Maintain a clean and organized work area to support project timelines and client standards.

Qualifications

  • High school diploma or equivalent.
  • 0–1 years of experience in a data center, cabling, or technical environment (experience preferred but not required).
  • Strong attention to detail and ability to follow labeling standards and instructions.
  • Ability to work in a fast-paced, structured environment.
  • Comfortable working in data centers, including raised floors and equipment aisles.
  • Ability to lift up to 50lbs and stand or walk for extended periods.

Preferred (Not Required):

  • Exposure to fiber optic or copper cabling.
  • OSHA 10 certification.
  • Military, trade school, or technical training background.

Why Join TDS?

  • Entry-level opportunity with hands-on data center experience.
  • 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