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Data Annotation Engineer Jobs in Georgia (NOW HIRING)

Navtech, Inc.

Sr. Apigee Developer

Atlanta, GA · On-site

... Data Formats (REST, JSON, SOAP & XML). * 3+ Experience in API management tools like Apigee Edge in ... Strong knowledge in API Modelling languages and annotation (YAML, Swagger, RAML) * Strong ...

Autodesk, Inc.

Principal Software Engineer

Atlanta, GA · On-site

$129K - $174K/yr

Design and review complex changes to the workflow framework (BaseWorkflow, APIWorkflow, annotation ... Demonstrated ability to design data models and schemas and to drive system behavior from ...

Autodesk

Principal Software Engineer

Atlanta, GA · On-site

$129K - $174K/yr

Design and review complex changes to the workflow framework (BaseWorkflow, APIWorkflow, annotation ... Demonstrated ability to design data models and schemas and to drive system behavior from ...

4P Consulting Inc.

GIS Tech 1 or 2

Bainbridge, GA

Create engineering construction prints using Esri mapping applications * Ensure GIS changes are ... Adhere to mapping standards including but not limited to offsets, annotation, and symbology

CNN

Applied AI Specialist

Atlanta, GA · On-site

Responsibilities : • Own the prompt engineering lifecycle for assigned AI features -- from ... data, and quality guidance that shapes what the system produces • Work directly with editorial ...

Czarnowski

CAD MECHANICAL DESIGNER

Austell, GA · On-site

A Mechanical Designer is responsible for the development of engineering data for the fabrication of ... Microsoft Office, scheduling software, Adobe Acrobat review and annotation What we offer: * Medical ...

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All JobsData Annotation Engineer JobsData Annotation Engineer Jobs in Georgia

Data Annotation Engineer information

See Georgia salary details

$43.5K

$124.5K

$166.3K

How much do data annotation engineer jobs pay per year?

As of Jun 17, 2026, the average yearly pay for data annotation engineer in Georgia is $124,513.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,900.00 and $165,500.00 per year, depending on experience, location, and employer.

What are the main challenges faced by Data Annotation Engineers in their daily work?

One of the main challenges Data Annotation Engineers face is ensuring consistent accuracy and quality in labeling large and often complex datasets. Attention to detail is critical, as even small errors can significantly affect machine learning model performance. Additionally, engineers must frequently adapt to evolving annotation guidelines and emerging data types, which requires ongoing learning and flexibility. Collaboration with data scientists and project managers is common to clarify requirements and resolve ambiguities, making strong communication skills essential for success.

What are the key skills and qualifications needed to thrive in the Data Annotation Engineer position, and why are they important?

To thrive as a Data Annotation Engineer, you need a strong background in data analysis, attention to detail, and familiarity with annotation processes, often supported by a degree in computer science or a related field. Proficiency with annotation tools like Labelbox, CVAT, or VIA, and understanding of data formats used in machine learning, is commonly required. Excellent communication, collaboration, and organizational skills help you effectively manage projects and cooperate with cross-functional teams. These abilities are crucial for delivering high-quality labeled data, which directly impacts the performance of AI and machine learning models.

Is data annotation real or fake?

Data annotation is a real and essential process in machine learning where human annotators label data such as images, text, or audio to train AI models. Data annotation engineers perform this work using specialized tools and quality standards to ensure accurate and reliable datasets.

What is a data annotation engineer?

A data annotation engineer is a professional responsible for labeling and annotating data, such as images, text, or videos, to train machine learning models. They often use specialized tools and follow guidelines to ensure data quality and accuracy, supporting AI development and data-driven applications.

How hard is it to get a job with data annotation tech?

Getting a job as a Data Annotation Engineer typically requires basic computer skills, attention to detail, and familiarity with annotation tools or platforms. Entry-level positions are often accessible with minimal formal education, but having knowledge of machine learning concepts or experience with data labeling can improve job prospects.

Does data annotation really pay you?

Data annotation engineers are typically paid for their work, often earning hourly wages or project-based fees depending on the employer or platform. Compensation varies based on experience, skill level, and the complexity of annotation tasks, which may involve using tools like labeling software or AI platforms.

What is a Data Annotation Engineer job?

A Data Annotation Engineer is responsible for labeling and annotating data—such as text, images, audio, or video—to train machine learning models. They ensure that data is accurately categorized and structured to improve model performance. This role often involves using specialized annotation tools, following detailed guidelines, and working closely with data scientists and AI teams. Data Annotation Engineers play a crucial role in the development of AI applications by providing high-quality labeled datasets for supervised learning.

What are popular job titles related to Data Annotation Engineer jobs in Georgia? For Data Annotation Engineer jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Data Annotation Engineer jobs in Georgia look for? The top searched job categories for Data Annotation Engineer jobs in Georgia are:
What cities in Georgia are hiring for Data Annotation Engineer jobs? Cities in Georgia with the most Data Annotation Engineer job openings:
Data Annotation Engineer jobs near you
Infographic showing various Data Annotation Engineer job openings in Georgia as of June 2026, with employment types broken down into 67% Full Time, 8% Part Time, and 25% Contract. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $124,513 per year, or $59.9 per hour.
PhD Research Intern - Data Management & Visualization (Fall 2026, Atlanta)

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

Dolby Laboratories, Inc.

Atlanta, GA

Other

Posted 7 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 researchers to 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 with ML 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.

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