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Data Labelling Jobs in Suwanee, GA (NOW HIRING)

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Lead Data Center Technician An enterprise organization is seeking a Lead Data Center Technician to ... labeling. * Infrastructure: Deep knowledge of power distribution (A/B feeds, load balancing ...

New

Data Protection Consultant

Atlanta, GA · On-site

$112K - $133K/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 ...

We are looking for a highly skilled and motivated Data Center Deployment Lead I to join our team at ... labeling, terminations -- and correct mistakes in the field immediately Ensure all team members ...

Data Protection Consultant

Atlanta, GA · On-site

$112K - $133K/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 ...

... labels/encryption, DLP policies, data classification/discovery, Insider Risk Management). * Participate in requirements gathering, workshops, and documentation efforts. * Execute assigned tasks ...

Data Services Tech Lead When you join Atlanticus, you become a member of a fast-growing, mission ... These products include retail and healthcare, private label credit and general-purpose credit cards ...

Monitor and evaluate data center performance, including power consumption, ambient temperature and ... Ability to differentiate between color-coded warning signs, labels, and cables * Ability to work in ...

Showing results 41-60

Data Labelling information

See Suwanee, GA salary details

$42.8K

$153.6K

$226.6K

How much do data labelling jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data labelling in Suwanee, GA is $153,592.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,300.00 and $158,200.00 per year, depending on experience, location, and employer.

What is a data labelling?

A Data Labelling job involves annotating data, such as text, images, audio, or video, to help train machine learning models. Labelers categorize or tag data by following specific guidelines to ensure accuracy and consistency. This process is essential for improving AI applications, including image recognition, natural language processing, and autonomous systems. Attention to detail and adherence to instructions are key skills required for this role.

What are the typical daily responsibilities of a data labelling professional?

Data Labelling professionals are generally responsible for reviewing and accurately annotating large volumes of data—such as images, audio, video, or text—to support machine learning and AI projects. This often involves using specialized labeling platforms and following detailed guidelines provided by data scientists or project managers. You may also participate in regular team meetings to discuss quality standards or address ambiguities in data, and your work is typically reviewed for accuracy before being integrated into training datasets. Collaborating with other data annotators, engineers, and analysts is a common part of the process to ensure consistency and high-quality results.

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

To thrive as a Data Labelling professional, you need strong attention to detail, proficiency with data annotation processes, and a basic understanding of machine learning concepts. Familiarity with annotation tools like Labelbox, Supervisely, or Amazon SageMaker Ground Truth is often required, and some roles may value certifications in data processing or AI fundamentals. Reliability, patience, and the ability to follow precise instructions are important soft skills for success in this position. These skills ensure accurate and consistent data labeling, which is critical for developing effective AI models and maintaining data integrity.

How can I get started in data labeling?

To start in data labeling, gain familiarity with annotation tools and understand the specific data types you'll work with, such as images, text, or audio. Building attention to detail and basic knowledge of machine learning concepts can improve your effectiveness; some roles may require basic computer skills or certifications. Entry-level positions often offer flexible schedules and remote work options.

How much do data labelers make?

Data labelers typically earn between $10 and $20 per hour, depending on experience, complexity of tasks, and the platform they work for. Some may earn higher rates with specialized skills or certifications, especially for complex data annotation tasks involving images, videos, or audio. Pay can vary based on whether the work is freelance, part-time, or full-time, and some roles offer project-based or hourly compensation.

Is data labelling a good career?

Data labelling is a common entry-level role in data annotation and machine learning workflows, often requiring attention to detail and familiarity with labeling tools. It can provide opportunities to develop skills in data management and AI, but typically offers lower pay and limited advancement without additional training or experience.

What are data labeling jobs?

Data labeling jobs involve annotating or tagging data such as images, text, or videos to help machine learning models learn and improve. These roles typically require attention to detail and familiarity with labeling tools or software, and they are often performed remotely with flexible schedules.

What job categories do people searching Data Labelling jobs in Suwanee, GA look for?

The top searched job categories for Data Labelling jobs in Suwanee, GA are:

What cities near Suwanee, GA are hiring for Data Labelling jobs?

Cities near Suwanee, GA with the most Data Labelling job openings:

Infographic showing various Data Labelling job openings in Suwanee, GA as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $153,592 per year, or $73.8 per hour.

Data Center Technician

The Archetype Strategy

Alpharetta, GA • On-site

Contractor

Re-posted 14 days ago


Job description

Job Title: Data Center Technician

Shift: Two Shifts Available. Day and Night Shift

Job Overview:

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 year 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)

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