ZipRecruiter

Log In

1

Intern Data Annotation Tech Jobs in Atlanta, GA (NOW HIRING)

Werfen

Data Analytics Intern

Norcross, GA · On-site

Our Headquarters and Technology Centers are located in the US and Europe, and our workforce is more ... Overview Job Summary We are seeking a highly motivated Data Analytics Scientist/Intern to support ...

Werfen

Data Analytics Intern

Norcross, GA · On-site

Our Headquarters and Technology Centers are located in the US and Europe, and our workforce is more ... Overview Job Summary We are seeking a highly motivated Data Analytics Scientist/Intern to support ...

Hearst

Automotive Analyst Intern

Lawrenceville, GA

$20/hr

Do you like cars, data, technology, or figuring out what makes markets move? Black Book is looking ... Analyst Intern, you will get hands-on exposure to how an automotive data company turns raw ...

Hearst

Automotive Analyst Intern

Lawrenceville, GA · On-site

$20/hr

Do you like cars, data, technology, or figuring out what makes markets move? Black Book is looking ... Analyst Intern, you will get hands-on exposure to how an automotive data company turns raw ...

Hearst

Automotive Analyst Intern

Lawrenceville, GA · On-site

$20/hr

Do you like cars, data, technology, or figuring out what makes markets move? Black Book is looking ... Analyst Intern, you will get hands-on exposure to how an automotive data company turns raw ...

Hearst

Automotive Analyst Intern

Lawrenceville, GA

$20/hr

Do you like cars, data, technology, or figuring out what makes markets move? Black Book is looking ... Analyst Intern, you will get hands-on exposure to how an automotive data company turns raw ...

Black Book

Automotive Analyst Intern

Lawrenceville, GA · On-site

$20/hr

Do you like cars, data, technology, or figuring out what makes markets move? Black Book is looking ... Analyst Intern, you will get hands-on exposure to how an automotive data company turns raw ...

AGG

Security Automation Intern

Atlanta, GA · Hybrid

Reports to: Director of Technology Major tasks, Responsibilities and Key Accountabilities ... Support compliance and documentation activities related to data protection and client/security ...

Nebo

Back-End Engineering Intern

Atlanta, GA · On-site +1

$16 - $21/hr

Producing data models and migrations for new and existing features * Working with a more ... Desire and ability to learn a variety of web technologies (Ruby on Rails, headless stacks ...

next page

Showing results 1-20

All JobsIntern Data Annotation Tech JobsIntern Data Annotation Tech Jobs in Atlanta, GA

Intern Data Annotation Tech information

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. Interns in data annotation roles perform tasks like tagging and categorizing data using specialized tools, contributing to the development of accurate AI systems.

What are some common challenges faced by Intern Data Annotation Techs, and how can they overcome them?

Intern Data Annotation Techs often encounter challenges such as maintaining consistency in labeling large datasets and understanding nuanced instructions for annotation tasks. To overcome these hurdles, it's important to ask clarifying questions early on, regularly review annotation guidelines, and participate in team discussions about edge cases. Collaboration with more experienced annotators and feedback from supervisors also help in refining skills and ensuring high-quality data preparation. Developing attention to detail and adaptability will contribute to a successful internship experience.

Does data annotation tech really pay?

Data annotation technicians typically earn hourly wages that vary by experience and location, with entry-level positions often paying minimum wage or slightly above. The pay can increase with skill development, familiarity with annotation tools, and the complexity of the data being labeled. Overall, data annotation jobs provide a modest income but are generally not high-paying roles.

What is the difference between Intern Data Annotation Tech vs Intern Data Labeler?

AspectIntern Data Annotation TechIntern Data Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentData annotation platforms, remote or officeData labeling platforms, remote or office
Industry UsageAI, machine learning, data scienceAI, machine learning, data science
Job FocusAnnotating data for training AI modelsLabeling data for machine learning algorithms

Both roles involve preparing data for AI systems, with similar skills and work environments. The main difference lies in terminology; 'Data Annotation Tech' emphasizes technical annotation tasks, while 'Data Labeler' is a more general term. Both are entry-level positions vital for training AI models in the tech industry.

What is a data annotation intern?

A data annotation intern is a temporary position where individuals label or categorize data, such as images, text, or videos, to help train machine learning models. The role typically involves using annotation tools and requires attention to detail to ensure data accuracy, often under supervision or with specific guidelines.

Is data annotation tech still hiring?

Data annotation technician roles are currently in demand as companies expand AI and machine learning projects. These positions often require attention to detail and familiarity with annotation tools, and they are available in various industries including tech, healthcare, and automotive. Hiring trends indicate steady opportunities for entry-level and remote data annotation jobs.

What are Intern Data Annotation Techs?

Intern Data Annotation Techs are entry-level professionals, often students or recent graduates, who support machine learning projects by labeling and categorizing data, such as images, text, or audio. Their work is essential for training AI systems, as accurately annotated data helps algorithms learn to make correct predictions. These interns typically use specialized software tools to tag or classify data according to specific guidelines. The role requires attention to detail, consistency, and sometimes basic technical skills, depending on the complexity of the data and tasks. Internships in data annotation can provide valuable exposure to the fields of artificial intelligence and data science.

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

To thrive as an Intern Data Annotation Tech, you need attention to detail, basic data management skills, and familiarity with data labeling concepts, often supported by a high school diploma or ongoing college coursework. Experience with annotation platforms, spreadsheet tools, and sometimes basic scripting languages is helpful. Strong communication, reliability, and the ability to follow detailed instructions are valuable soft skills in this role. These abilities ensure accurate and efficient data labeling, which is critical for training reliable machine learning models.
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 Intern Data Annotation Tech jobs in Atlanta, GA? For Intern Data Annotation Tech jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Intern Data Annotation Tech jobs in Atlanta, GA look for? The top searched job categories for Intern Data Annotation Tech jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Intern Data Annotation Tech jobs? Cities near Atlanta, GA with the most Intern Data Annotation Tech job openings:
Intern Data Annotation Tech jobs near you

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

Dolby

Atlanta, GA • On-site

Full-time, Internship

Posted 4 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.

Apply