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Ai Labeling Jobs in Washington (NOW HIRING)

Aslan

AI Engineer

Washington, DC · On-site

We're flexible on the senior‑vs‑staff label; we care about depth. * Hands‑on experience building agentic AI systems that operate autonomously over extended time. You've designed the scaffolding ...

Innodata Inc.

AI Solutions Engineer

Washington, DC · On-site

$75 - $80/hr

Configure AI-assisted annotation features: confidence scoring, auto-escalation triggers, model-assisted label suggestion * Implement ICAM / OIDC authentication integration with AFS identity framework

Leidos

Senior AI Engineer

Fort George G Meade, MD

$115K - $159K/yr

... labeling, and augmentation. Optimize models through model selection, fine-tuning, hyperparameter ... Understanding of the complete AI lifecycle from data ingestion and model development through ...

Leidos Inc

Senior AI Engineer

Fort George G Meade, MD · On-site

$115K - $159K/yr

Seeking motivated Senior AI Engineers to support high-impact mission opportunities applying ... labeling, and augmentation. Optimize models through model selection, fine‑tuning, hyperparameter ...

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Ai Labeling information

What is an AI labeling?

An AI labeling job involves annotating data (such as images, text, audio, or video) to help train machine learning models. This can include tasks like categorizing objects, transcribing speech, or identifying patterns. Accurate labeling is essential for AI systems to learn and improve their performance. The job typically requires attention to detail and an understanding of specific labeling guidelines. It is often performed using specialized software tools provided by AI companies.

What does an AI labeling team member do?

A typical day as an AI Labeling team member involves reviewing large volumes of data—such as images, audio, or text—and accurately tagging or categorizing each piece according to specific guidelines. You’ll often work both independently and in collaboration with a team lead or quality assurance specialist, who reviews and validates your work. Regular communication with teammates and project managers helps clarify any ambiguities and ensures consistency across the project. While the work can be repetitive, it is essential for creating training data that powers AI models, and team members often rotate between different projects for variety and skill development.

What are the key skills and qualifications needed to thrive in AI labeling?

To thrive in an AI Labeling role, you need strong attention to detail, the ability to follow detailed instructions, and basic computer literacy, often requiring a high school diploma or equivalent. Familiarity with data annotation platforms, workflow management tools, and sometimes image or audio editing software is commonly expected. Strong communication, patience, and the ability to quickly learn new guidelines are valuable soft skills in this position. These skills are essential to ensure high-quality, accurate datasets that directly impact the performance of artificial intelligence systems.

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Cities in Washington with the most Ai Labeling job openings:

Ai Labeling jobs near you
Infographic showing various Ai Labeling job openings in Washington as of August 2026, with employment types broken down into 72% Full Time, and 28% Part Time. Highlights an 69% In-person, and 31% Remote job distribution.

Cable Labeling & Bundling Technician

Sterling, VA • On-site

Total Deployment Solutions
IT Services • 1 - 5K employees
Learn more about Total Deployment Solutionsexternal

$19.75 - $25.25/hr

Full-time

Re-posted yesterday

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.

Position Overview

We are seeking a reliable and detail-oriented Cable Labeling & Bundling Technician to support our warehouse operations. This role focuses on preparing fiber optic and Cat6 cables for deployment by labeling, bundling, and organizing them according to detailed specifications. Your work will directly support field installation teams and ensure efficient deployment to customer sites or data centers.

Responsibilities
  • Accurately apply printed or pre-assigned labels to both ends of fiber and Cat6 cables.
  • Follow specific naming conventions and labeling instructions from project documentation or supervisors.
  • Neatly bundle cables in specified groupings using Velcro straps or approved cable ties.
  • Package cables by job, rack, or zone according to project plans or pick lists.
  • Sort and stage completed bundles for shipment or deployment.
  • Inspect cables for correct labeling, lengths, and physical integrity before bundling.
  • Maintain neat and consistent bundling practices to ensure tangle-free transport and install readiness.
  • Track completed bundles and update internal logs or inventory systems as needed.
  • Report any discrepancies, damaged cables, or inventory shortages to the warehouse lead.
  • Maintain a clean and organized work area.
  • Assist in managing labeling supplies and restocking as necessary.

Qualifications

  • Prior experience in cable management or IT infrastructure projects is preferred but not required.
  • Basic understanding of fiber and Ethernet cable types and uses preferred.
  • Ability to read and understand cable schedules, layouts, and labeling plans.
  • Strong attention to detail, manual dexterity and ability to follow verbal instructions.
  • Ability to stand, bend, perform repetitive tasks efficiently and work with hands for extended periods.
  • Willingness to follow instructions and adhere to safety and quality standards.

Job Type: PROJECT BASED - W2

Expected hours: 20-40 per week

Compensation Package:

  • Hourly Pay

Schedule:

  • 8 hour shift
  • Nights as needed
  • Overtime
  • Weekends as needed

Work Location: In person