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Data Labeler Jobs in Kentucky (NOW HIRING)

Zappsec

$95 - $140/hr

Deploying Client's AI data center infrastructure across new builds, expansions, refreshes, and high-density compute deployments * Racking, stacking, cabling, labeling, and validating servers, PDUs ...

Posted today

VYBOND SPECIALTY ADHESIVES LLC

$90 - $130/hr

Identify new business opportunities, product line extensions, private-label programs, branded ... Use POS data, sell-through trends, market insights, competitive activity, and retailer feedback to ...

Invesco

Microsoft 365 Engineer

Louisville, KY · Hybrid

Build and maintain working knowledge of Microsoft Purview capabilities including DLP, sensitivity labels, data classification, retention, audit, compliance reporting, and related information ...

Invisible, Inc.

$166 - $185/hr

Our platform cleans, labels, and structures company data so it is ready for AI. It adapts models to each business and adds human expertise when needed, the same approach we have used to improve ...

New

Parsons

SCA - Data Systems Technician, FAA

Field, KY · On-site

Communications systems (VHF/UHF, data/voice) * Surveillance and support systems * Associated power ... Route, terminate, label, and test cables (coax, fiber, copper) under guidance * Assist with system ...

Actalent

Phlebotomist II

Lexington, KY · On-site

$19 - $21/hr

Ability to accurately label, handle, and process specimens according to established protocols. * Proficiency with Microsoft Office Suite for basic data entry, documentation, and communication.

Henkel AG & Co. KGaA

Machine Operator

Bowling Green, KY

$16.75 - $19.75/hr

This includes operation of the automatic descrambler, capper, rotary and heat transfer labeler (in ... data; and ending production * Maintain a working knowledge of the sequential Control Logic that ...

Technology Consulting Inc

Cable Technician

Louisville, KY · On-site

$19.25 - $24.50/hr

Labeling and organizing cables on patch panels within data centers or communication rooms. Testing and troubleshooting: Utilizing cable testing equipment to identify faults, signal degradation, and ...

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All JobsData Labeler JobsData Labeler Jobs in Kentucky

Data Labeler information

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$8

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$14

How much do data labeler jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for data labeler in Kentucky is $12.13, according to ZipRecruiter salary data. Most workers in this role earn between $10.87 and $13.37 per hour, depending on experience, location, and employer.

What is a data labeler?

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.

What does a data labeler do?

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.

What skills and qualifications are needed to be a data labeler?

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 Kentucky?

The most popular types of Data Labeler jobs in Kentucky are:

What are popular job titles related to Data Labeler jobs in Kentucky?

For Data Labeler jobs in Kentucky, the most frequently searched job titles are:

What job categories do people searching Data Labeler jobs in Kentucky look for?

The top searched job categories for Data Labeler jobs in Kentucky are:

Data Labeler jobs near you
Infographic showing various Data Labeler job openings in Kentucky as of August 2026, with employment types broken down into 4% Internship, 74% Full Time, 9% Part Time, and 13% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $25,233 per year, or $12.1 per hour.

Deployment Engineer

Zappsec

On-site

$95 - $140/hr

Other

Posted 14 hours ago

Posted today

Job description

Deployment Engineers play a critical role in building and scaling the physical infrastructure that powers AI cloud platform. Deployment team is responsible for supporting new AI data center builds, infrastructure expansions, hardware deployments, cabling validation, and site readiness activities that enable client to grow quickly and reliably.

From deploying hardware to validating cabling, troubleshooting link issues, coordinating vendor work, and supporting operational readiness, our engineers work across the full deployment lifecycle. You’ll join a collaborative, fast-moving team with opportunities to support large-scale deployments, new AI data center expansions, and next-generation infrastructure.

This role requires significant onsite deployment support and requires very high levels of domestic and international travel based on project needs.

What You’ll Be Doing
  • Deploying Client’s AI data center infrastructure across new builds, expansions, refreshes, and high-density compute deployments
  • Racking, stacking, cabling, labeling, and validating servers, PDUs, network switches, storage systems, GPU platforms, and related infrastructure
  • Installing and commissioning servers, switches, routers, storage systems, GPU hardware, and other infrastructure components
  • Independently executing defined deployment workstreams using runbooks, cabling plans, rack elevations, port maps, checklists, and validation workflows
  • Validating vendor and contractor work against Client standards for rack and stack, cabling, labeling, layout, and physical readiness
  • Running LLDP checks, link validation steps, internal tools, automation workflows, and scripts to confirm cabling and network readiness
  • Identifying and resolving common miswires, optic issues, hardware faults, communication errors, provisioning blockers, and link inconsistencies
  • Troubleshooting hardware, cabling, Linux OS, and network-adjacent issues during deployment activities
  • Coordinating with vendors and contractors to correct build quality issues and confirm completion of assigned work
  • Supporting DCTrack, NetBox, inventory, asset tracking, and deployment documentation updates
  • Submitting RMAs, tracking remote work requests, and managing shipping, receiving, and component inventory during deployment projects
  • Providing clear status updates on assigned workstreams, including progress, blockers, risks, and estimated completion
  • Partnering with Data Center Operations, Network Engineering, Infrastructure Engineering, Logistics, Facilities, Security, and vendors to support deployment readiness
  • Supporting handoff of deployed infrastructure to steady-state operations
  • Participating in lessons learned and contributing to improvements in runbooks, validation workflows, and deployment procedures
  • Following safety, security, quality, and operational standards while working in active data center environments
What You’ll Add to Client
  • Overall 5+ years with 2+ years of experience deploying, operating, or supporting infrastructure in AI data center including GPU/HPC systems, cloud, lab, networking, or technical operations environments
  • Experience deploying and troubleshooting GPU servers, switches, storage systems, PDUs, optics, cabling, and related data center infrastructure
  • Working knowledge of AI data center cabling standards, rack layouts, labeling practices, power paths, and physical deployment best practices
  • Strong troubleshooting skills across hardware, cabling, Linux OS, and network connectivity issues
  • Linux command-line experience, including working with terminal sessions, logs, and standard diagnostic commands
  • Familiarity with scripting, automation workflows, or tooling used to validate hardware, cabling, and connectivity
  • Ability to independently execute standard deployment workstreams with minimal supervision
  • Ability to identify physical infrastructure issues such as miswires, incorrect labeling, improper cable routing, rack elevation mismatches, optic issues, or hardware placement errors
  • Strong verbal and written communication skills, including the ability to clearly communicate status, blockers, risks, and escalation needs
  • Ability to work professionally with contractors, vendors, and cross-functional teams during high-cadence deployment projects
  • Strong problem-solving ability and willingness to perform technical deep dives to resolve deployment blockers
  • Ability to operate effectively in fast-moving environments with shifting priorities, tight timelines, and limited local supervision
  • Experience with inventory management, asset tracking, remote work requests, and RMA processes
  • The ability to travel domestically and internationally based on deployment needs
  • Support deployment schedules that include extended onsite periods, non-standard hours, or project-based rotations
  • Valid driver’s license and comfort with driving as needed
  • Ability to remain on your feet throughout the workday
  • Ability to lift objects up to 50 lbs
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