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Data Label Jobs in Tennessee (NOW HIRING)

Apply precise labels, ensuring all required information is correctly displayed. * Inspect products ... Record basic production data to monitor performance and output. * Assist with inventory management ...

Label/Install copper and fiber jumpers * Perform 4 pair continuity testing * Exhibit quality workmanship on all work and maintain Data Center cleanliness. * Follow all production, safety and quality ...

Data Cabling Technician Location: Nashville, TN About the Opportunity We are seeking experienced ... Bundle, dress, and label cable runs according to project specifications and industry standards.

Seamer Operator (1st Shift)

Collierville, TN · On-site

$15.50 - $20.25/hr

Sets up and operates equipment to seam printed sleeve labels as per job jacket instructions. Must ... Maintains accurate data entries for all rolls produced. * Prepares production records, reports ...

Showing results 41-60

Data Label information

What is the difference between Data Label vs Data Annotator?

AspectData LabelData Annotator
Primary RoleAssigns labels to data for machine learning modelsPerforms detailed annotation of data, including labeling and marking specific features
Skills & CertificationsBasic understanding of data types, labeling toolsMore detailed annotation skills, familiarity with annotation tools
Work EnvironmentData labeling platforms, remote or on-siteAnnotation tools, often similar to labeling platforms
Industry UsageUsed across AI, machine learning, and data science projectsUsed in similar fields, often with more complex annotation tasks

Data Label and Data Annotator roles are closely related, with Data Labeling focusing on assigning simple labels to data, while Data Annotators perform more detailed and complex annotations. Both roles are essential in preparing data for AI and machine learning, often using similar tools and working within the same industry environments.

What are some common challenges faced by data labels, and how can they be addressed?

Data Labelers often face challenges such as handling large volumes of repetitive data, maintaining high accuracy under tight deadlines, and quickly adapting to changing labeling guidelines. To address these challenges, it's important to develop strong attention to detail, use quality control processes like regular peer reviews, and communicate proactively with team leads if guidelines are unclear. Additionally, many teams use specialized annotation tools to streamline workflows and minimize errors, making it helpful to become familiar with these platforms.

What are the key skills and qualifications needed to thrive as a data label, and why are they important?

To thrive as a Data Labeler, you need strong attention to detail, basic computer literacy, and familiarity with data annotation processes, often supported by a high school diploma or equivalent. Experience with labeling platforms, annotation tools, and sometimes knowledge of data management systems is typically required. Reliability, consistency, and the ability to follow precise instructions are the soft skills that set top performers apart. These skills ensure accurate and high-quality data labeling, which is critical for training effective machine learning models.

What is a data label?

Data labelers are professionals who annotate or tag data—such as images, text, or audio—to provide context and structure for use in machine learning and artificial intelligence projects. Their work involves identifying and labeling key features in raw data so that algorithms can learn to recognize patterns and make predictions. Data labeling is a crucial step in training supervised learning models, ensuring the accuracy and effectiveness of AI systems.
What are popular job titles related to Data Label jobs in Tennessee? For Data Label jobs in Tennessee, the most frequently searched job titles are:
Infographic showing various Data Label job openings in Tennessee as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Data Center Operations Technician

SpaceXAI

Memphis, TN • On-site

Full-time

Posted 26 days ago


SpaceX rating

8.8

Company rating: 8.8 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

15th of 72 rated aerospace companies


Job description

SpaceXAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.
ABOUT THE ROLE:
As a Datacenter Operations Technician at SpaceXAI, you will be responsible for the health of our server and network infrastructure for Data Centers and Global Points of Presence. You will be responsible for our two most important data center operations metrics: mean time to detect (MTTD) and mean time to repair (MTTR). You are great at following directions, are a fast learner and are super attentive to details. You are accessible via cell phone and willing to get onsite when there are emergencies as needed. You understand all aspects of the equipment you are responsible for to drive efficiencies and optimizations where necessary to simplify and improve our server intake and repair processes.
RESPONSIBILITIES:
  • Report to the job site during initial construction and report back to the engineering team as required.
  • Performing troubleshooting and monitoring of the servers and network in our data centers and global points of presence
  • Rack and stack of data center network equipment
  • Maintain Warehouse inventory and asset management using our internal application.
  • Labeling and troubleshooting for fiber/optics cables
  • Power supply cabling, installation, troubleshooting and repair
  • Installation of racks, servers and switches; this includes staging racks in place, cabling, power up and handoff of hardware to the provisioning team for customer capacity allocation.
  • Manage, response and resolution of data center operations tickets used cross functionally within SpaceXAI via Jira.
  • Create and Maintain documentation of tasks and standard operating procedures
  • Receipt and Decommissioning of data center hardware.
  • Vendor returns for infrastructure under and out of warranty
  • Manage spare parts inventory within the data center
  • Define, design, and implement network layouts and solutions within our data centers
BASIC QUALIFICATIONS:
  • High school diploma or equivalency certificate
  • 2+ years of experience working with server, storage, compute and network hardware
  • 2+ Years of experience troubleshooting and repairing servers and networking infrastructure
  • 2+ years of experience in Inventory Management, and ordering, receiving and shipping server and network equipment
  • Position is subject to pre-employment drug and random drug and alcohol testing
  • Position is subject to pre-employment and annual post employment background checks
  • Physical Requirements:
    • Work is often performed in tight quarters and physical dexterity is necessary to perform job functions
    • Ability to lift up to 35lbs. unassisted
    • Comfortable working at elevated heights (up to 50 feet) with appropriate safety gear
    • Comfortable working in an environment requiring exposure to noise
  • Available to work evenings and weekends, as the schedule varies depending on site operational needs; flexibility is required
PREFERRED SKILLS AND EXPERIENCE:
  • Strong Linux skills including:
    • Navigating the system's directories and filing system
    • Manipulating files in the Linux shell
    • User permission configuration
    • Package installation and software management
    • Ability to identify and apply different filesystem types
    • Using Linux commands for process management
    • Basic troubleshooting and debugging
    • Bash or other scripting
  • Experience being on-call and ability to respond to critical events as needed.
  • Experience leading Data Center Infrastructure projects.
  • Curious to always learn new things within the Data Center World
  • Excellent prioritization and time management skills
  • Able to work in a fast paced environment
  • Detail Oriented
  • Oracle Experience
  • Inventory Management
  • 4+ years of experience in Structured Cabling Copper/Fiber
  • 4+ years of experience in Power and Cooling concepts inside the data center

SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

What SpaceX employees say

Pay

Benefits

Hours and flexibility

Workplace

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About SpaceX

Sourced by ZipRecruiter

Industry

Aerospace product and parts manufacturing, data services, guided missile and space vehicle manufacturing and satellite telecommunications

Company size

1,001 - 5,000 Employees

Headquarters location

Hawthorne, CA, US