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

The role involves accurate video labeling and structured data annotation to support AI and machine-learning projects. Key Responsibilities * Review videos and identify key actions, events, and ...

New

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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

AI Engineer

Atlanta, GA · On-site

$55K - $187K/yr

Within our Internal Firm Services practice, you will apply data, algorithms, and software ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

$14.50 - $19.50/hr

As an Entry-Level Brand Sales Specialist, you will create demand, build trusted client ... Use digital and AI-powered sales techniques, customer data, market insights, and customer data ...

Extract, clean, transform, label, annotate, and interpret image, biometric, transactional, and ... Experience with AI/ML, computer-vision, or deep-learning frameworks and libraries such as PyTorch ...

Production Operator

Pendergrass, GA · 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 ...

Production Operator

Pendergrass, GA · 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 ...

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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.

Data Scientist /data analyst entry level /AI /software programmer(Remote)

Savannah, GA • On-site

Other

Posted 13 days ago


Job description

Data Scientist /data analyst entry level /AI /software programmer(Remote)

Occupation: Data Scientists Location: Savannah, GA - 31401 Job Type: Full Time (30 Hours or More) Posted: 03/23/2026

Positions available: 1 Source: SynergisticIT Web Site: www.synergisticit.com Onsite / Remote: Work at home all of the time

Job #: 24-02321

Type of Job: Not Available Full or Part Time: Full Time (30 Hours or More) Job Duration: Not Available

Minimum Experience Required: Not Available

Minimum Education Level Required: Not Available Required License/Certification: Not Available

Occupation Information for Data Scientists

Data Scientists - Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings. May create dynamic data reports.

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