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

Smarsh

Lead Data Scientist

Atlanta, GA · Remote

$166K - $214K/yr

Data annotation and quality review * Exploratory data analysis and model fail state analysis ... We use the latest in AI/ML technology to help our customers break new ground at scale. We are a ...

Smarsh

Lead Data Scientist

Atlanta, GA · On-site

Data annotation and quality review * Exploratory data analysis and model fail state analysis ... We use the latest in AI/ML technology to help our customers break new ground at scale. We are a ...

Smarsh

Lead Data Scientist

Atlanta, GA · On-site

Data annotation and quality review * Exploratory data analysis and model fail state analysis ... We use the latest in AI/ML technology to help our customers break new ground at scale. We are a ...

TSMG

Robot Teleoperator (AI & Robotics)

Atlanta, GA · On-site

Support data annotation and quality validation activities * Maintain accurate operational records ... Work directly with cutting-edge robotics technology * Gain experience in one of the fastest-growing ...

TSMG

Robot Teleoperator (AI & Robotics)

Atlanta, GA

Support data annotation and quality validation activities * Maintain accurate operational records ... Work directly with cutting-edge robotics technology * Gain experience in one of the fastest-growing ...

Scientific Games

IT Intern

Alpharetta, GA · On-site

$14.75 - $19.50/hr

We push game designs to the next level and are pioneers in data analytics and iLottery. Built on a ... Position Summary The IT Intern will provide administrative and technical support to the Information ...

Scientific Games

IT Intern

Alpharetta, GA · On-site

$14.75 - $19.50/hr

We push game designs to the next level and are pioneers in data analytics and iLottery. Built on a ... Position Summary The IT Intern will provide administrative and technical support to the Information ...

AGG

Security Automation Intern

Atlanta, GA · On-site

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

CRH

Graduate Intern - Strategy D&A

Atlanta, GA · On-site

$30 - $35/hr

... Technology International ® pool finishes, and Techniseal ® sands and sealant technologies ... The intern will provide data and research support to the strategy team, helping senior management ...

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

Intern Data Annotation Tech information

Is it hard to get hired for data annotation?

Getting hired as a data annotation intern typically requires basic computer skills, attention to detail, and sometimes familiarity with annotation tools. The application process is often straightforward, with many companies offering entry-level positions that do not require extensive experience or certifications.

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 can range from minimum wage to above average, depending on experience and location. Entry-level roles often pay around $10 to $15 per hour, with higher rates for skilled annotators or those working on specialized projects. Compensation can also include flexible schedules and remote work options.

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, with tasks often performed remotely or in a supervised environment.

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.

Can I do data annotation with no experience?

Intern Data Annotation Tech roles often do not require prior experience, as training is typically provided to teach basic annotation tools and guidelines. Basic computer skills and attention to detail are usually sufficient to start, making it accessible for beginners. Developing familiarity with annotation software and understanding data labeling standards can improve performance over time.

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.
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Intern Data Annotation Tech jobs near you
Infographic showing various Intern Data Annotation Tech job openings in Atlanta, GA as of July 2026, with employment types broken down into 2% Locum Tenens, 19% Full Time, 17% Part Time, 19% Contract, 42% Nights, and 1% Summer. Highlights an 34% Physical, and 66% Remote job distribution.
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 29 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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