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Entry Level Data Annotation Tech Jobs in Atlanta, GA

The Data Center Tech Apprentice is an entry-level position responsible for assisting with the installation, termination, testing, and maintenance of low voltage systems. This role works under the ...

Job Summary and Responsibilities The Data Center Tech Apprentice is an entry-level position responsible for assisting with the installation, termination, testing, and maintenance of low voltage ...

Job Summary and Responsibilities The Data Center Tech Apprentice is an entry-level position responsible for assisting with the installation, termination, testing, and maintenance of low voltage ...

Responsibilities The Data Center Tech Apprentice is an entry-level position responsible for assisting with the installation, termination, testing, and maintenance of low voltage systems. This role ...

Within our Technology Consulting practice, you will focus on utilizing your skills in data ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

New

Digital Technology Analyst I

Atlanta, GA · On-site

$94K - $112K/yr

This entry-level to early-career role is responsible for maintaining servers, databases, and cloud ... Backup & Data Management * Oversee data backup and recovery procedures. * Manage and optimize data ...

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Entry Level Data Annotation Tech information

See Atlanta, GA salary details

$11

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How much do entry level data annotation tech jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for entry level data annotation tech in Atlanta, GA is $18.60, according to ZipRecruiter salary data. Most workers in this role earn between $15.72 and $20.58 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Data Annotation Tech vs Entry Level Data Labeler?

AspectEntry Level Data Annotation TechEntry Level Data Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, tech-focusedRemote or on-site, tech-focused
Industry UsageAI, machine learning, autonomous vehiclesAI, machine learning, autonomous vehicles

Both roles involve labeling data for AI training, requiring similar skills and environments. The main difference lies in terminology; 'Data Annotation Tech' emphasizes the technical aspect of annotation, while 'Data Labeler' is a more general term. Both are entry-level positions vital for AI development in tech industries.

What are some common challenges faced by Entry Level Data Annotation Techs, and how can they be managed?

Entry Level Data Annotation Techs often encounter challenges like maintaining focus during repetitive tasks, ensuring accuracy under tight deadlines, and adapting to evolving annotation guidelines. To manage these, it's helpful to take regular breaks, double-check your work, and actively seek feedback from supervisors. Collaborating with teammates and participating in training sessions can also improve both speed and consistency, making the work more manageable and rewarding.

What is an Entry Level Data Annotation Tech?

An Entry Level Data Annotation Tech is responsible for labeling and categorizing data, such as images, text, or audio, to help train machine learning models. This role typically involves using specialized software to accurately tag and classify data according to specific guidelines. It is a foundational position within the field of artificial intelligence and data science, requiring attention to detail and consistency. No advanced technical skills are usually required, making it a suitable entry point for those interested in AI or data-related careers.

What are the key skills and qualifications needed to thrive as an Entry Level Data Annotation Tech, and why are they important?

To thrive as an Entry Level Data Annotation Tech, you need strong attention to detail, basic computer literacy, and a high school diploma or equivalent. Familiarity with annotation software, data labeling platforms, and basic spreadsheet tools is typically required. Patience, consistency, and effective communication help ensure accuracy and efficient teamwork. These skills and qualities are essential for delivering high-quality labeled data that supports machine learning and AI development.
What are the most commonly searched types of Data Annotation Tech jobs in Atlanta, GA? The most popular types of Data Annotation Tech jobs in Atlanta, GA are:
What are popular job titles related to Entry Level Data Annotation Tech jobs in Atlanta, GA? For Entry Level Data Annotation Tech jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Annotation Tech jobs in Atlanta, GA look for? The top searched job categories for Entry Level Data Annotation Tech jobs in Atlanta, GA are:

Entry Level Business Analyst

Data Cloud Merge

Atlanta, GA • On-site

Full-time

Posted 18 days ago


Job description

Company Description
Data Cloud Merge is a communications Company that was established in the year 2002 and located in Jersey City, New Jersey. It has gained a lot of experience in providing innovations in IT that were formerly found in large companies alone. The Company provides dedicated IT innovations at friendly prices unlike other companies that operate on big budgets. It was established with the objective of serving the private sector with these innovations through their dedicated departments of IT.
Job Description
  • Involve in the complete process by analyzing business requirements and understanding the functional workflow of information from source systems to destination systems.
  • Manage day-to-day project activities and coordinate tasks with other teams through the Scrum meetings.
  • Facilitate JAD sessions with management, users, and other stakeholders to define the project scope and requirements in the form of Business Requirement Documents (BRDs).
  • Interact with the business users and work closely with them to understand their business needs and opportunities.
  • Create test plans, test cases, and test scripts for different modules in the application according to the Business Requirement Documentation.
  • Analyze high-level business requirements to create use cases and Use case diagrams using Rational Rose according to UML methodology.

Qualifications
  • Master's or Bachelor's degree in Information Technology, Computer Science or Business or relevant stream.
  • Experience in business process analysis, Workflow, task analysis, User acceptance testing, and requirements analysis.
  • Proven ability to elicit, document, analyze and verify requirements.
  • Prior experience in business/technology enhancements, automation, and implementations.
  • Demonstrated successful use of SDLC methodology or demonstrated knowledge of business processes related to the business area supporting.

Additional Information
Describe your perks and culture