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Assistant Ai Labeling Jobs (NOW HIRING)

Jobgether

$2 - $5/hr

You will analyze video content, segment sequences, label observable actions, and verify AI ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Weekday AI

Project Coordinator - AI & Data Projects

$45 - $70/hr

... * Assist research and product teams in developing, documenting, and refining project processes and ... Previous project or program coordination experience within AI, machine learning, data labeling ...

TSMG Holding

AI/ML Data Contributor

Wichita, KS · On-site

In this role, you will assist in improving machine learning models through tasks such as data labeling, content evaluation, and user-based testing. Responsibilities : • Perform AI/ML-related tasks ...

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Assistant Ai Labeling information

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$29K

$48.4K

$69.5K

How much do assistant ai labeling jobs pay per year?

As of Sep 3, 2026, the average yearly pay for assistant ai labeling in the United States is $48,396.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,000.00 and $48,500.00 per year, depending on experience, location, and employer.

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 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 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 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.

More about Assistant Ai Labeling jobs

What cities are hiring for Assistant Ai Labeling jobs?

Cities with the most Assistant Ai Labeling job openings:

What are the most commonly searched types of Ai Labeling jobs?

The most popular types of Ai Labeling jobs are:

What states have the most Assistant Ai Labeling jobs?

States with the most job openings for Assistant Ai Labeling jobs include:

What job categories do people searching Assistant Ai Labeling jobs look for?

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Assistant Ai Labeling jobs near you
Infographic showing various Assistant Ai Labeling job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $48,396 per year, or $23.3 per hour.

Cable Labeling & Bundling Technician

Total Deployment Solutions

Abilene, TX • On-site

$19.25 - $24.75/hr

Full-time

Re-posted 18 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.
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

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