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Entry Level Ai Data Labeling Jobs in Georgia (NOW HIRING)

Production Operator

Pendergrass, GA Β· On-site

$21 - $25/hr

... AI data centers, renewable integration, and grid stability. Backed by strong industry partnerships ... labeling, and assigned checks) l Follow production takt time to support continuous and efficient ...

Microsoft Fabric Data Engineer

Atlanta, GA Β· On-site

$110K - $132K/yr

Utilize automation and AI-assisted development tools responsibly to improve productivity while ... Knowledge of Microsoft Purview, data classification, sensitivity labeling, and data loss prevention ...

Data Center Deployment Lead I

Atlanta, GA Β· On-site

$80K - $87K/yr

... of AI and high-performance computing. Responsibilities Lead a small team of technicians (DCT I-V ... labeling, terminations -- and correct mistakes in the field immediately Ensure all team members ...

What if your knowledge English languageβ€―could help improve the AI.β€― β€―β€― WHAT YOU'LL DO β€― ... Labels too small"). YOU ARE A FIT IF YOU... β€― * Have an eye for artistic detail and intuitive ...

AI Red Team Lead Engineer

Atlanta, GA

$98K - $129K/yr

Data ingestion, labeling, and governance controls * Design and execute AI-specific threat emulation aligned to real-world adversaries, misuse scenarios, and emerging attack techniques (e.g., prompt ...

Showing results 21-40

Entry Level Ai Data Labeling information

What is entry level AI data labeling?

Entry level AI data labeling involves tagging, categorizing, or annotating data such as images, text, audio, or video to help train artificial intelligence models. Data labelers follow specific guidelines to ensure the data is accurately marked, which is essential for machine learning algorithms to learn and make predictions. This role usually requires attention to detail, basic computer skills, and the ability to follow instructions, but typically does not require advanced technical experience. Data labeling is foundational to the development of reliable AI systems.

What are the key skills and qualifications needed to thrive as an entry level AI data labeler, and why are they important?

To thrive as an Entry Level AI Data Labeler, you need strong attention to detail, basic computer literacy, and the ability to follow specific instructions, typically with at least a high school diploma or equivalent. Familiarity with annotation tools, data labeling platforms, and sometimes spreadsheet software is commonly required. Reliability, focus, and effective communication are important soft skills that help ensure high-quality, consistent work. These skills and qualities are vital for producing accurate datasets that directly impact the performance and reliability of AI models.

What are some common challenges faced by entry level AI data labelers, and how can they be addressed?

Entry-level AI data labelers often encounter challenges such as repetitive tasks, maintaining high accuracy under tight deadlines, and understanding complex labeling guidelines. To address these, it's important to take regular breaks to avoid fatigue, seek clarification from team leads when instructions are unclear, and leverage training resources provided by the company. Collaborating with peers and utilizing feedback can also improve efficiency and accuracy, making the role both manageable and rewarding for those starting their careers in AI.

What is the difference between Entry Level Ai Data Labeling vs Data Annotation Specialist?

AspectEntry Level Ai Data LabelingData Annotation Specialist
CredentialsBasic computer skills, no formal certification often requiredSimilar; often no formal certification, but some roles prefer training in data management
Work EnvironmentRemote or on-site, flexible hours, task-basedRemote or on-site, similar flexible environment
Industry UsageCommon in AI/ML companies, tech startupsUsed across tech, healthcare, automotive industries
Search/Comparison IntentHigh overlap, both involve labeling data for AI

Entry Level Ai Data Labeling and Data Annotation Specialist roles both involve labeling data to train AI models. While they share similar credentials and work environments, the term "Data Annotation Specialist" is often used interchangeably but may imply a broader scope or more specialized tasks. Both roles are essential in AI development and typically require minimal formal education, focusing on accuracy and attention to detail.

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

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

What job categories do people searching Entry Level Ai Data Labeling jobs in Georgia look for?

The top searched job categories for Entry Level Ai Data Labeling jobs in Georgia are:

What cities in Georgia are hiring for Entry Level Ai Data Labeling jobs?

Cities in Georgia with the most Entry Level Ai Data Labeling job openings:

Infographic showing various Entry Level Ai Data Labeling job openings in Georgia as of September 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 50% In-person, and 50% Remote job distribution.

Production Operator

Pendergrass, GA β€’ On-site

$21 - $25/hr

Full-time

Re-posted 23 days ago


Job description

NeoVolta Power, LLC is building one of the next-generation battery manufacturing platforms in the United States — and we’re looking for talented individuals to help power the future of energy.
Our Georgia facility is designed for gigawatt-scale production of advanced battery energy storage systems supporting AI data centers, renewable integration, and grid stability. Backed by strong industry partnerships and global technical expertise, we offer the unique opportunity to join a high-growth manufacturing environment where your work directly shapes the future of clean energy infrastructure.
At NeoVolta Power, we foster a culture grounded in fairness, transparency, compliance, and respect for every employee’s contribution — because building the future of energy starts with empowering the people who make it possible.
Position Summary : 
Responsible for operating automated pack assembly lines, including material handling, basic assembly, and equipment operation. This role follows SOPs to ensure stable production, monitors equipment status, performs basic troubleshooting, and maintains safe and organized working conditions.
 
Key Responsibilities:
l   Operate automated production equipment in accordance with SOPs and standardized work instructions 
l   Perform material loading/unloading, barcode scanning, and basic assembly tasks 
l   Record production data accurately, including output, downtime, and abnormalities 
l   Monitor equipment status during operation, perform basic troubleshooting for minor issues, and escalate unresolved problems promptly 
l   Conduct basic in-process self-inspection (appearance, labeling, and assigned checks) 
l   Follow production takt time to support continuous and efficient line operation 
l   Perform daily equipment checks and execute assigned preventive maintenance tasks according to the maintenance schedule 
l   Maintain workplace organization and cleanliness in accordance with 5S standards 
l   Strictly follow all EHS and battery safety procedures 
l   Support cross-functional production tasks as assigned in a fast-paced environment
 
Qualifications:
l   High school diploma or equivalent 
l   Manufacturing experience preferred (automated line experience is a plus) 
l   Ability to follow SOPs and standardized work instructions consistently 
l   Basic ability to identify and report equipment abnormalities 
l   Strong attention to detail, discipline, and safety awareness 
l   Reliable, punctual, and able to work in a fast-paced production environment 
l   Ability to stand for extended periods (8–12 hours per shift) and lift up to 50 lbs as needed