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

Data Protection Sr. Analyst

Atlanta, GA ยท Hybrid

$84K - $100K/yr

Contribute to emerging areas such as AI and agentic AI security, under guidance. . Qualifications ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

... 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 ...

... 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.

PhD Research Intern - Data Management & Visualization (Fall 2026, Atlanta)

Dolby

Atlanta, GA โ€ข On-site

Full-time, Internship

Posted 5 days ago


Job description

Join the leader in entertainment innovation and help us design the future. The Advanced Technology Group (ATG) is the research division of the company. ATG's mission is to look ahead, deliver insights, and innovate technological solutions that will fuel Dolby's continued growth. As a valued member of the Dolby team, you'll see and hear the results of your work everywhere, from movie theaters to smartphones. We continuously push the boundaries of audio, imaging, and cloud technology to create spectacular entertainment experiences.
As a diverse and dynamic group, our ATG researchers work on cutting-edge projects related to computer science and electrical engineering for audio, video, and cloud technologies, exploring exciting domains such as AI/ML, algorithms, digital signal processing, audio processing, image processing, computer vision, AR/VR, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT.
About the Role
The Data Platform & AI Services research team within Dolby's Advanced Technology Group focuses on advancing our AI and data platforms to enable AI-based innovation and deliver cloud and network-delivered media experiences to power the world's most influential media service providers.
We are looking for a PhD Research Intern in ML Data Platform & Visualization to extend our existing data platform with scalable tooling that helps ML researchers understand, navigate, and extract insight from large-scale multimodal datasets. You will build on a production-grade platform while drawing on and contributing to emerging research in visualization for machine learning, data-centric AI, and foundation model interpretability.
As a Research Intern, you will:
  • Extend our ML data platform to improve dataset management, discoverability, and quality assessment for large-scale, multimodal media datasets (video, image, audio, sensor data)

  • Build scalable visualization tooling that enables ML researchers to explore embedding spaces, surface semantic representations from foundation models, and understand dataset structure at scale

  • Design and implement interactive data exploration interfaces to support ML research workflows and data management, including ingestion, indexing, retrieval, annotation and representation

  • Investigate and apply emerging research in visualization for ML, data-centric AI, and foundation model representations to inform platform design decisions

  • Collaborate directly with AI researchersto translate research workflows into platform requirements, bridging the gap between model development needs and data infrastructure capabilities

  • Present your work to internal stakeholders, with the possibility of contributing to academic publications or conference presentations

The role will be based out of our research facility in Atlanta, GA, and offers the opportunity to work with state-of-the-art computing resources and proprietary datasets.
Requirements
Candidates should meet one or more of the following:
  • Currently enrolled in a PhD program in Computer Science, Human-Computer Interaction, Computational Media, Data Science, Electrical Engineering, or a related field, with interest in data management, data visualization, ML infrastructure, or media data systems

  • Strong background in data management and visualization, including data modeling, indexing, retrieval, annotation and visualization for large-scale or unstructured media data

  • Familiarity withML workflows and researcher tooling - understanding how ML researchers interact with datasets during training, evaluation, and debugging

  • Solid understanding of deep learning fundamentals and experience with frameworks such as PyTorch

  • Proficiency in Python and experience with visualization libraries

  • Ability to work independently and as part of a collaborative, cross-disciplinary research team

Highly Desired Experience
  • First-authored publication or project work in relevant domains at top venues such as IEEE VIS, CHI, VLDB, ACM SIGMOD, SIGKDD, or IEEE Big Data

  • Expertise in visualization research for ML, including dataset cartography, latent space visualization, data-centric AI, or interactive ML tools

  • Hands-on experience building data visualization tools or interactive ML exploration interfaces - embedding viewers, dataset dashboards, annotation UIs, or similar

  • Experience with scalable data processing and model training

We will review applications on a rolling basis. For the best chance to have your resume reviewed and considered, we recommend submitting your application by June 26, 2026.
Eligibility
Currently enrolled in Doctoral program. Recent grads who are within 6 months of graduation are also eligible to apply. Must be available to work full-time Monday - Friday for 12 weeks between September 2026 - December 2026.
The start date for this internship is as follows (please note these dates are not flexible):
  • September 21, 2026

The Atlanta area base hourly range for this internship position is $53/hr and can vary if outside of this location. Our hourly ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific hourly range and perks and benefits for your location during the hiring process.
Dolby will consider qualified applicants with criminal histories in a manner consistent with the requirements of San Francisco Police Code, Article 49, and Administrative Code, Article 12
Equal Employment Opportunity:
Dolby is proud to be an equal opportunity employer. Our success depends on the combined skills and talents of all our employees. We are committed to making employment decisions without regard to race, religious creed, color, age, sex, sexual orientation, gender identity, national origin, religion, marital status, family status, medical condition, disability, military service, pregnancy, childbirth and related medical conditions or any other classification protected by federal, state, and local laws and ordinances.