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Data Labeler Jobs in Georgia (NOW HIRING)

Data Protection Manager

Atlanta, GA · On-site +1

$150K - $178K/yr

Design and implement Microsoft Purview solutions (e.g., sensitivity labeling strategies, advanced DLP policies/integrations, Purview DSPM, data lifecycle/retention controls). * Perform threat mapping ...

Should understand and be capable in performing field terminations and labeling. * Reports to ... Capable of working in Data Centers * Shall be able to install ladder racking and seismic bracing ...

Design and implement Microsoft Purview solutions (e.g., sensitivity labeling strategies, advanced DLP policies/integrations, Purview DSPM, data lifecycle/retention controls). Perform threat mapping ...

Nutrition & Labeling Consultant Category: Business Consulting, Strategy and Digital Transformation ... Data Entry * Detail-oriented * Stakeholder management What you can expect from us: Together, as ...

Labeling Coordinator Location: Kennesaw, GA Pay Rate: $20.80/hr. Aera code: 770 ZIP Code: 30144 ... Proficient in data entry software - Microsoft excel & word. . Loftware, QAD, Easylabel (In house ...

Labeling Coordinator Location: Kennesaw, GA Pay Rate: $20.80/hr. ZIP Code: 30144 Aera code: 770 ... Proficient in data entry software - Microsoft excel & word. . Loftware, QAD, Easylabel (In house ...

Create labels for finished goods and manage paperwork on the production floor. * Team Collaboration: Provide administrative support to department leads across the facility. Skills * Data Entry * ERP ...

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Data Labeler information

See Georgia salary details

$8

$11

$14

How much do data labeler jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for data labeler in Georgia is $11.79, according to ZipRecruiter salary data. Most workers in this role earn between $10.58 and $12.98 per hour, depending on experience, location, and employer.

What is a data labeler job?

A data labeler is responsible for reviewing and annotating data such as images, videos, or text to help train machine learning models. The job typically involves using specialized tools and requires attention to detail and accuracy. Data labelers often work remotely and may need basic computer skills and understanding of data privacy.

What is a Data Labeler job?

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.

How much are data labelers paid?

Data labelers typically earn between $10 and $20 per hour, depending on experience, location, and the complexity of the labeling tasks. Many positions are remote and may offer flexible schedules, with some roles paying per project or task rather than hourly.

Which 3 jobs will survive AI?

Data labelers are likely to be replaced by AI automation as machine learning models improve in data annotation tasks. Jobs that require complex human judgment, such as healthcare professionals, mental health counselors, and skilled tradespeople, are expected to persist. Roles involving creativity, emotional intelligence, and strategic decision-making will also remain in demand despite AI advancements.

What does a typical day look like for a Data Labeler and how do team interactions work?

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.

How much does Tesla pay data labelers?

Tesla data labelers typically earn between $15 and $25 per hour, depending on experience and location. The role involves annotating data for autonomous vehicle training and may require familiarity with labeling tools and attention to detail.

What are the key skills and qualifications needed to thrive in the Data Labeler position, and why are they important?

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 Georgia? The most popular types of Data Labeler jobs in Georgia are:
What job categories do people searching Data Labeler jobs in Georgia look for? The top searched job categories for Data Labeler jobs in Georgia are:
What cities in Georgia are hiring for Data Labeler jobs? Cities in Georgia with the most Data Labeler job openings:

Other

Posted 7 days ago


Job description

Data Center Technician

We are seeking a skilled and reliable Data Technician to join our team. The primary responsibilities for this role will include building data cabinets, racking, and stacking in a data center environment. The ideal candidate will have at least 6 months of prior experience in data center rack and stack work and will be comfortable working in a fast-paced, technical environment. This is an excellent opportunity to be part of a high-impact project while gaining hands-on experience in the data center industry.

Key Responsibilities:

  • Rack and Stack: Install servers, switches, routers, and other hardware into server racks and cabinets. Ensure proper cable management and secure all equipment.
  • Data Cabinet Setup: Build and configure data cabinets, including positioning and mounting hardware in compliance with safety and organizational standards.
  • Cable Management: Properly route, label, and secure cables to ensure a clean, organized, and efficient data center layout.
  • Equipment Testing: Ensure that installed equipment is powered on and functioning correctly, and perform basic diagnostics if needed.
  • Data Center Maintenance: Assist with data center maintenance tasks, including monitoring temperature, power, and environmental controls.
  • Documentation: Accurately document the installation and configuration of hardware and any changes made to data center setups.
  • Safety Compliance: Adhere to all safety protocols and procedures while working within the data center environment to maintain a safe and efficient workspace.

Qualifications:

  • Experience: At least 2 years of prior data center rack and stack experience, including knowledge of data center hardware installation, cable management, and general data center operations.
  • Technical Skills: Basic understanding of server hardware, networking equipment, and how they integrate within a data center environment.
  • Physical Requirements: Ability to lift and carry equipment (up to 50 lbs), bend, kneel, and stand for extended periods of time. Comfortable working in tight spaces.
  • Attention to Detail: Strong attention to detail to ensure proper installation, cable management, and system configuration.
  • Problem-Solving Skills: Ability to troubleshoot basic hardware issues and report any problems or discrepancies to senior technicians.
  • Teamwork: Ability to collaborate effectively with other team members and follow instructions from senior technicians and project managers.
  • Work Environment: Willingness to work in a fast-paced, high-energy environment with strict deadlines and performance targets.

Preferred Qualifications:

  • Previous experience working in a large-scale data center environment.
  • Familiarity with industry-standard data center racking systems and cabling practices.
  • Knowledge of basic network equipment (e.g., routers, switches) and server configurations.

Additional Information:

  • Work Hours: Full-time hours, Monday through Friday (with potential for overtime based on project deadlines).