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Ai Data Labeling Jobs in Tennessee (NOW HIRING)

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 ...

New

Data Protection Consultant

Nashville, TN

$112K - $133K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Design and implement Microsoft Purview solutions (e.g., sensitivity labeling strategies, advanced ... Build awareness and controls for emerging AI and agentic AI security considerations (e.g., Security ...

Engineer, Data (34524)

Memphis, TN · On-site

$111K - $133K/yr

We specialize in co-manufacturing, private label, and food service solutions, offering a diverse ... Leverage AI assistance to accelerate development, documentation and troubleshooting of Python ...

Data Protection, Manager

Nashville, TN · On-site

$150K - $178K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Design and implement Microsoft Purview solutions (e.g., sensitivity labeling strategies, advanced ... Build awareness and controls for emerging AI and agentic AI security considerations (e.g., Security ...

Data Protection, A/SA-Evergreen

Nashville, TN

$84K - $100K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... labels/encryption, DLP policies, data classification/discovery, Insider Risk Management ... Contribute to emerging areas such as AI and agentic AI security, under guidance. . Qualifications ...

Data Protection Consultant

Nashville, TN · On-site

$112K - $133K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Design and implement Microsoft Purview solutions (e.g., sensitivity labeling strategies, advanced ... Build awareness and controls for emerging AI and agentic AI security considerations (e.g., Security ...

... wave of AI/ML platforms. POSITION: Cable Installer About the Role: Data Center Installer with ... Label/Install copper and fiber jumpers * Perform 4 pair continuity testing * Exhibit quality ...

Job Summary : xAI is focused on creating AI systems that aid humanity in its pursuit of knowledge ... Labeling and troubleshooting for fiber/optics cables • Power supply cabling, installation ...

SpaceXAI's mission is to create AI systems that can accurately understand the universe and aid ... Manage and optimize data center operations, including power supply cabling, fiber/optics labeling ...

Supervisor, Data Center Operations

Memphis, TN · On-site

$162K/yr

SpaceXAI's mission is to create AI systems that can accurately understand the universe and aid ... Manage and optimize data center operations, including power supply cabling, fiber/optics labeling ...

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Ai Data Labeling information

See Tennessee salary details

$11

$47

$109

How much do ai data labeling jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for ai data labeling in Tennessee is $47.72, according to ZipRecruiter salary data. Most workers in this role earn between $17.95 and $70.61 per hour, depending on experience, location, and employer.

What is an AI data labeling?

An AI Data Labeling job involves annotating or tagging data (such as images, text, audio, or video) to train machine learning models. Labelers categorize, classify, or highlight data based on specific guidelines to help AI understand patterns and make accurate predictions. This process is crucial for supervised learning, where models learn from labeled examples. AI Data Labeling jobs are common in industries like healthcare, finance, and autonomous vehicles. Attention to detail and consistency are key skills for success in this role.

What does an AI data labeling do?

As an AI Data Labeling professional, your primary responsibilities include reviewing raw images, audio, or text data and accurately tagging or classifying them based on set guidelines provided by your employer. You may also be required to flag ambiguous cases or data anomalies and provide feedback to improve labeling instructions. Collaboration with data scientists or machine learning engineers is common to ensure your work aligns with project needs. Maintaining high accuracy while meeting productivity goals is essential for success in this role.

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

To thrive as an AI Data Labeling professional, you need strong attention to detail, analytical thinking, and the ability to follow precise guidelines, typically backed by a high school diploma or higher. Familiarity with annotation tools such as Labelbox, Supervisely, or internal labeling platforms, as well as basic understanding of data privacy practices, is often required. Patience, reliability, and good communication skills are important soft skills for consistently delivering high-quality labeled datasets and working effectively with team members. These skills ensure accurate data preparation for training AI models, directly impacting the model’s performance and the success of machine learning projects.

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

The most popular types of Ai Data Labeling jobs in Tennessee are:

What are popular job titles related to Ai Data Labeling jobs in Tennessee?

For Ai Data Labeling jobs in Tennessee, the most frequently searched job titles are:

What cities in Tennessee are hiring for Ai Data Labeling jobs?

Cities in Tennessee with the most Ai Data Labeling job openings:

Infographic showing various Ai Data Labeling job openings in Tennessee as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $99,248 per year, or $47.7 per hour.

Deployment Engineer

Zappsec Inc.

Memphis, TN • On-site

Full-time

Posted 2 days ago

New


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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