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Assistant Ai Labeling Jobs in Reston, VA (NOW HIRING)

Jushi

Processing Technician

Manassas, VA · On-site

$18/hr

Accurate weighing and labeling of biomass on racks and storage bins * Perform drying and curing ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Jushi

Processing Technician

Manassas, VA · On-site

$18/hr

Accurate weighing and labeling of biomass on racks and storage bins * Perform drying and curing ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Jushi

Processing Technician

Manassas, VA · On-site

$18/hr

Accurate weighing and labeling of biomass on racks and storage bins * Perform drying and curing ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Jushi

Processing Technician

Manassas, VA · On-site

$18/hr

Accurate weighing and labeling of biomass on racks and storage bins * Perform drying and curing ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Jushi

Processing Technician

Manassas, VA · On-site

$18/hr

Accurate weighing and labeling of biomass on racks and storage bins * Perform drying and curing ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Jushi

Processing Technician

Manassas, VA

$18/hr

Accurate weighing and labeling of biomass on racks and storage bins * Perform drying and curing ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

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Showing results 21-40

All JobsAi Labeling JobsAssistant Ai Labeling JobsAssistant Ai Labeling Jobs in Reston, VA

Assistant Ai Labeling information

See Reston, VA salary details

$30.2K

$50.3K

$72.3K

How much do assistant ai labeling jobs pay per year?

As of Aug 16, 2026, the average yearly pay for assistant ai labeling in Reston, VA is $50,349.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,700.00 and $50,500.00 per year, depending on experience, location, and employer.

What is the difference between Assistant Ai Labeling vs Data Annotator?

AspectAssistant Ai LabelingData Annotator
CredentialsHigh school diploma or equivalent; some roles may require basic technical skillsHigh school diploma or equivalent; training often provided on the job
Work EnvironmentRemote or office-based; collaborative with AI teamsPrimarily remote; focused on data labeling tasks
Industry UsageAI development, machine learning projectsData preparation for AI, machine learning, and analytics
Search & Comparison IntentUnderstanding roles supporting AI trainingData labeling and annotation tasks for AI models

Assistant Ai Labeling involves supporting AI systems by labeling data, often requiring some technical understanding. Data Annotator focuses on labeling data to prepare datasets for AI training. Both roles are essential in AI development, with overlapping skills but different focus areas.

What is an assistant AI labeling?

Assistant AI Labeling jobs involve reviewing, tagging, and categorizing data such as images, text, or audio to help train artificial intelligence and machine learning models. These roles are essential because accurate labeling ensures that AI systems can learn to recognize patterns and make decisions effectively. Tasks may include drawing bounding boxes around objects in images, transcribing spoken words, or classifying text according to given guidelines. The work is often done using specialized software and requires attention to detail as well as consistency. Assistant AI Labelers may work remotely or in-house for tech companies, research organizations, or data annotation firms.

What are some common challenges faced by assistant AI labeling professionals, and how can they be addressed?

Assistant AI Labeling professionals often encounter challenges such as maintaining consistency and accuracy when labeling large volumes of data, especially with ambiguous or subjective cases. To address these challenges, most teams implement clear annotation guidelines, regular training sessions, and peer review processes to ensure high-quality outputs. Collaboration with data scientists and project managers is also key, as open communication helps clarify uncertainties and align labeling practices with project goals. Embracing feedback and staying flexible as guidelines evolve can further enhance both the quality of work and job satisfaction in this role.

What are the key skills and qualifications needed to thrive as an assistant AI labeling?

To thrive as an Assistant AI Labeling Specialist, you need strong attention to detail, accuracy, and an understanding of data annotation practices, often supported by a high school diploma or equivalent. Familiarity with data labeling platforms, annotation tools, and sometimes basic knowledge of programming languages like Python is beneficial. Dependability, time management, and the ability to follow complex instructions are crucial soft skills for excelling in this role. These skills ensure high-quality labeled data, which is vital for training accurate and reliable AI models.

What job categories do people searching Assistant Ai Labeling jobs in Reston, VA look for?

The top searched job categories for Assistant Ai Labeling jobs in Reston, VA are:

What cities near Reston, VA are hiring for Assistant Ai Labeling jobs?

Cities near Reston, VA with the most Assistant Ai Labeling job openings:

Assistant Ai Labeling jobs near you

Lead Data Center Cabling Technician

Align Communications

Sterling, VA

Full-time

Re-posted 9 days ago

Job description

Position Overview 

As a Lead Data Center Cabling Technician, you will support large-scale cabling installations for major AI and hyperscale data centers across the U.S. This hybrid role blends field leadership with hands-on work, ideal for someone who has grown beyond a Foreman role but is not yet a full Superintendent. 

You'll assist the Superintendent with planning, standards enforcement, and on-site execution while working directly with technicians, contractors, and vendors. This role is heavily field-facing and requires strong technical skills, attention to detail, and the ability to help keep teams aligned with project timelines and quality expectations. 

  • This is a full-time salaried role offering $70,000-$90,000, full benefits, project bonuses, paid travel, and advanced training.
  • This position requires 75% travel to project sites nationwide, including AI build locations. 

Key Responsibilities 

  • Support structured cabling installations in new data center white space and help coordinate daily work for cabling crews under the Superintendent. 
  • Perform on-site QA checks for fiber/copper terminations, labeling, routing, and test results while reinforcing jobsite safety. 
  • Assist with cabling standards, tracking sheets, patch schedules, port maps, and drawing reviews to ensure work meets TIA/BICSI specifications. 
  • Communicate field progress, schedule risks, and material needs to project leadership. 
  • Support documentation, RFIs, change orders, daily reports, and QA/QC corrective actions. 

Required Qualifications 

  • 2-4 years experience in structured cabling, low-voltage, or fiber optic systems (data center or mission-critical preferred). 
  • Experience leading small cabling crews (foreman or lead technician level). 
  • Ability to read cabling drawings, rack elevations, and labeling standards. 
  • Experience using fiber testing tools (OLTS, OTDR, VFL). 
  • Strong Excel skills for port mapping, tracking, and documentation. 
  • Comfortable working in live data center environments with fast-paced schedules. 
  • Willingness to travel 75% and work extended hours during active builds 

Preferred Qualifications 

  • Experience supporting data center cabling deployments. 
  • Understanding of racks, containment systems, and cable pathways. 
  • Familiarity with TIA/EIA or BICSI standards. 
  • Certifications such as BICSI Technician or Installer II. 

To support a fair, consistent, and high-quality hiring experience, some interviews may be recorded. These recordings help our team focus fully on the conversation at hand, rather than note-taking, and allow us to better evaluate and improve our recruitment process. Recordings are used solely for internal purposes such as training, quality assurance, and process improvement. Candidates will be informed in advance and asked to provide consent before any recording takes place. 

PM26 

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