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

Entry Level Data Engineer

Doraville, GA · On-site

$67K - $100K/yr

... Data & Analytics team. This entry-level role is ideal for recent graduates or early-career ... A key differentiator for this role is hands-on comfort with AI-powered engineering tools; you ...

... Data & Analytics team. This entry-level role is ideal for recent graduates or early-career ... A key differentiator for this role is hands-on comfort with AI-powered engineering tools; you ...

... Data & Analytics team. This entry-level role is ideal for recent graduates or early-career ... A key differentiator for this role is hands-on comfort with AI-powered engineering tools; you ...

... Data & Analytics team. This entry-level role is ideal for recent graduates or early-career ... A key differentiator for this role is hands-on comfort with AI-powered engineering tools; you ...

... Data & Analytics team. This entry-level role is ideal for recent graduates or early-career ... A key differentiator for this role is hands-on comfort with AI-powered engineering tools; you ...

... Data & Analytics team. This entry-level role is ideal for recent graduates or early-career ... A key differentiator for this role is hands-on comfort with AI-powered engineering tools; you ...

... Data & Analytics team. This entry-level role is ideal for recent graduates or early-career ... A key differentiator for this role is hands-on comfort with AI-powered engineering tools; you ...

Entry Level Data Engineer

Lake City, GA · On-site

$67K - $100K/yr

... Data & Analytics team. This entry-level role is ideal for recent graduates or early-career ... A key differentiator for this role is hands-on comfort with AI-powered engineering tools; you ...

... Data & Analytics team. This entry-level role is ideal for recent graduates or early-career ... A key differentiator for this role is hands-on comfort with AI-powered engineering tools; you ...

... Data & Analytics team. This entry-level role is ideal for recent graduates or early-career ... A key differentiator for this role is hands-on comfort with AI-powered engineering tools; you ...

... Data & Analytics team. This entry-level role is ideal for recent graduates or early-career ... A key differentiator for this role is hands-on comfort with AI-powered engineering tools; you ...

... Data & Analytics team. This entry-level role is ideal for recent graduates or early-career ... A key differentiator for this role is hands-on comfort with AI-powered engineering tools; you ...

... Data & Analytics team. This entry-level role is ideal for recent graduates or early-career ... A key differentiator for this role is hands-on comfort with AI-powered engineering tools; you ...

... Data & Analytics team. This entry-level role is ideal for recent graduates or early-career ... A key differentiator for this role is hands-on comfort with AI-powered engineering tools; you ...

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Entry Level Ai Data Annotation information

What is an Entry Level AI Data Annotation job?

An Entry Level AI Data Annotation job involves labeling and categorizing data such as images, text, audio, or video to help train artificial intelligence (AI) and machine learning models. Annotators follow specific guidelines to tag data accurately, ensuring that AI systems learn to recognize patterns correctly. These positions typically require attention to detail, basic computer skills, and the ability to follow instructions. No advanced technical knowledge is usually required, making it a great way to start a career in the AI or tech industry.

How much do AI data annotators make?

AI data annotators typically earn between $12 and $20 per hour, depending on experience, location, and the complexity of the annotation tasks. Entry-level positions often pay closer to the lower end of this range, and some roles may offer project-based or part-time pay structures.

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

Entry-level AI data annotation specialists often encounter challenges such as maintaining consistency and accuracy while labeling large volumes of data, understanding nuanced instructions, and adapting to changing project requirements. These challenges can be addressed by actively seeking clarification from team leads, participating in training sessions, and regularly reviewing annotation guidelines. Collaborating with teammates and using quality assurance feedback also helps improve accuracy and ensures alignment with project standards.

Can I get an AI job with no experience?

Entry level AI data annotation roles typically do not require prior experience, as they focus on labeling data to train AI models. Basic computer skills, attention to detail, and familiarity with annotation tools are often sufficient to start. Gaining knowledge of AI concepts or tools can improve job prospects but is not always mandatory for entry-level positions.

Can I do data annotation with no experience?

Entry level AI data annotation jobs typically do not require prior experience, as training is often provided to teach specific tools and guidelines. Basic computer skills and attention to detail are usually sufficient to start, making it accessible for beginners. Developing familiarity with annotation tools and understanding data labeling standards can improve job performance and opportunities for advancement.

How to become an AI data annotator?

To become an AI data annotator, you typically need strong attention to detail, basic computer skills, and familiarity with annotation tools or platforms. Many roles are entry-level and may require a high school diploma or equivalent, with some positions offering training. Developing skills in data labeling, understanding of AI concepts, and the ability to work efficiently can improve job prospects.

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

To thrive as an Entry Level AI Data Annotation Specialist, attention to detail, basic computer literacy, and a high school diploma or equivalent are typically required. Familiarity with data labeling platforms, annotation tools, and spreadsheet software is often expected. Strong organizational skills, focus, and the ability to work independently help individuals excel in this role. These skills ensure accurate and efficient data labeling, which is crucial for developing reliable AI and machine learning models.
What are the most commonly searched types of Ai Data Annotation jobs in Georgia? The most popular types of Ai Data Annotation jobs in Georgia are:
What are popular job titles related to Entry Level Ai Data Annotation jobs in Georgia? For Entry Level Ai Data Annotation jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Entry Level Ai Data Annotation jobs in Georgia look for? The top searched job categories for Entry Level Ai Data Annotation jobs in Georgia are:
What cities in Georgia are hiring for Entry Level Ai Data Annotation jobs? Cities in Georgia with the most Entry Level Ai Data Annotation job openings:
Infographic showing various Entry Level Ai Data Annotation job openings in Georgia as of June 2026, with employment types broken down into 1% As Needed, 91% Full Time, 5% Part Time, and 3% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution.
Entry Level Data Engineer

Entry Level Data Engineer

Cox Automotive

Doraville, GA • On-site

$67K - $100K/yr

Full-time

PTO

Posted 6 days ago


Cox Automotive rating

7.8

Company rating: 7.8 out of 10

Based on 134 frontline employees who took The Breakroom Quiz

90th of 138 rated financial services


Job description

Enterprise Platforms - Data & Analytics, Data Engineer I
Cox Automotive is seeking a motivated Data Engineer I to join our Data & Analytics team. This entry-level role is ideal for recent graduates or early-career professionals who are eager to build, maintain, and improve data solutions that impact all of Cox Automotive. You will work alongside experienced engineers who will mentor you as you grow your skills in data pipeline development, data discovery, definition alignment, mapping, profiling, and auditing. A key differentiator for this role is hands-on comfort with AI-powered engineering tools; you should already be using tools like Claude Code, GitHub Copilot, or similar AI assistants to write, review, and ship code faster.
Responsibilities
  • Collaborate with data architects, data analysts, visualization developers, other data engineers, and business stakeholders to build and maintain data assets in a cloud-computing environment
  • Learn and apply techniques to improve data dependability and quality, and reduce manual effort through automation
  • Help investigate, communicate, and resolve data integrity issues that may impact business performance
  • Assist in developing and maintaining data assets by analyzing data from internal and external sources and making newly created data assets available across Cox Automotive
  • Participate in team activities within an Agile environment, including design discussions, code reviews, implementation, delivery estimates, and production support
  • Ensure data follows all information privacy and protection policies
  • Use AI-powered coding assistants such as GitHub Copilot and Claude Code daily to accelerate development, improve code quality, and streamline peer review workflows
  • Apply spec-driven development practices, using AI tools to translate specifications into well-structured, testable code
  • Gain exposure to cloud-native AI Services (e.g., Snowflake Cortex, AWS Bedrock/AgentCore) and contribute to efforts that enhance data pipelines and enable intelligent data processing
  • Follow responsible AI practices within the team, including prompt engineering, AI output validation, and governance of AI-generated code

Required Skills and Qualifications
  • Bachelor's degree in computer science, information systems, statistics, or a related analytical field
  • Up to one year of professional, contract, or internship experience in data engineering (new graduates welcome)
  • Solid SQL skills with an understanding of relational database concepts and the ability to write and troubleshoot queries
  • Foundational Python programming skills, whether gained through coursework, personal projects, or early professional experience
  • Demonstrated experience using AI-powered developer tools (e.g., GitHub Copilot, Claude Code, ChatGPT, or similar) for code generation, completion, or review in any setting-full-time role, internship, or college coursework
  • Familiarity with cloud-computing concepts; exposure to Snowflake and/or AWS environments is a plus
  • General awareness of data platform and data warehouse concepts
  • Strong critical thinking, analytical, and problem-solving skills
  • Eagerness to learn from and be mentored by a collaborative, experienced engineering team
  • Ability to work both independently and as part of a team in a fast-paced environment

Preferred Skills and Qualifications
  • Exposure to or interest in spec-driven development workflows where AI tools are used to translate requirements into code
  • Familiarity with Snowflake Cortex for AI-powered data enrichment, text analytics, or anomaly detection
  • Awareness of AWS Bedrock, AWS AgentCore, or other cloud-based AI services
  • Entry-level cloud or data certifications such as AWS Cloud Practitioner, Snowflake SnowPro Core, or equivalent
  • Any AI-related certifications from Snowflake, AWS, or other recognized providers
  • Experience with version control systems (e.g., Git/GitHub) and CI/CD fundamentals
  • Experience working in or familiarity with Agile/Scrum methodologies

USD 67,100.00 - 100,700.00 per year
Compensation:
Compensation includes a base salary in the range of $67,100.00 - $100,700.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program.
Benefits:
The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.
Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship.
EOE, including disability/vets

What Cox Automotive employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Cox Automotive

Sourced by ZipRecruiter

At Cox Automotive, people of every background are driven by their passion for mobility, innovation and community. We transform the way the world buys, sells, owns and uses cars, accelerating the industry with global powerhouse brands like Autotrader, Kelley Blue Book, Manheim and more. What's more, we do it all with an emphasis on employee growth and happiness. Drive your future forward and join Cox Automotive today! Cox empowers employees to build a better future and has been doing so for over 120 years. With exciting investments and innovations across transportation, communications, cleantech and healthcare, our family of businesses - which includes Cox Automotive and Cox Communications - is forging a better future for us all. Ready to make your mark? Join us today! Benefits of working at Cox may include health care insurance (medical, dental, vision), retirement planning (401(k)), and paid days off (sick leave, parental leave, flexible vacation/wellness days, and/or PTO). For more details on what benefits you may be offered, visit our benefits page . Cox is an Equal Employment Opportunity employer - All qualified applicants/employees will receive consideration for employment without regard to that individual's age, race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender, gender identity, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law. Cox provides reasonable accommodations when requested by a qualified applicant or employee with disability, unless such accommodations would cause an undue hardship. Statement to ALL Third-Party Agencies and Similar Organizations: Cox accepts resumes only from agencies with which we formally engage their services. Please do not forward resumes to our applicant tracking system, Cox employees, Cox hiring manager, or send to any Cox facility. Cox is not responsible for any fees or charges associated with unsolicited resumes.

Industry

Automobile dealers and technology, communication and media

Company size

5,001 - 10,000 Employees

Headquarters location

Atlanta, GA, US