ZipRecruiter

Log In

1

Audio Annotation Jobs in Stockbridge, GA (NOW HIRING)

All JobsAudio Annotation JobsAudio Annotation Jobs in Stockbridge, GA

Audio Annotation information

See Stockbridge, GA salary details

$25.2K

$72K

$146.3K

How much do audio annotation jobs pay per year?

As of Jun 28, 2026, the average yearly pay for audio annotation in Stockbridge, GA is $72,021.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,600.00 and $96,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Audio Annotator, and why are they important?

To thrive as an Audio Annotator, you need strong attention to detail, excellent listening skills, and familiarity with linguistic concepts, often supported by relevant coursework or experience in linguistics or audio processing. Proficiency in annotation tools such as ELAN, Audacity, or Praat, as well as experience with data labeling platforms, is typically required. Strong organizational skills, patience, and the ability to work independently make someone stand out in this role. These skills ensure accurate and consistent audio data labeling, which is essential for training reliable AI and speech recognition systems.

What are audio annotations?

Audio annotations involve labeling or transcribing audio recordings to identify specific sounds, speech, or events, which helps improve machine learning models for speech recognition, speaker identification, or sound classification. Annotators often use specialized tools and must pay close attention to detail to ensure accuracy in the labeled data.

What are some common challenges faced by audio annotators, and how can they be managed effectively?

Audio annotators often encounter challenges such as distinguishing overlapping voices, dealing with low-quality recordings, and maintaining consistency in labeling. To manage these, it's important to use high-quality headphones, familiarize yourself with annotation guidelines, and communicate regularly with your team to resolve ambiguities. Many organizations also provide regular feedback sessions and quality checks to ensure accuracy and support continuous improvement.

What is the salary of audio annotation?

The salary for audio annotation jobs typically ranges from $10 to $20 per hour, depending on experience, location, and the complexity of the tasks. Many positions are freelance or part-time, often requiring basic computer skills and attention to detail.

Does data annotation really pay you?

Audio annotation jobs typically pay hourly or per task rates, with earnings varying based on experience, complexity of the work, and platform. Many annotators earn between minimum wage and a few dollars per hour, but consistent income depends on workload and skill level. Some companies offer flexible schedules and remote work options for audio annotators.

What is audio annotation?

Audio annotation is the process of labeling or tagging audio data with relevant information, such as identifying sounds, speech, speakers, or background noises. This process helps train machine learning models to recognize and understand audio content. Audio annotation can involve tasks like transcribing speech, marking segments with specific sounds, or categorizing audio clips by genre or emotion. It is widely used in developing applications for speech recognition, virtual assistants, and audio analysis.

What is an audio annotation job?

An audio annotation job involves listening to audio recordings and labeling or transcribing specific elements such as speech, sounds, or events to help train machine learning models. Workers typically use specialized tools and must pay close attention to detail, often working remotely with flexible schedules.
What are popular job titles related to Audio Annotation jobs in Stockbridge, GA? For Audio Annotation jobs in Stockbridge, GA, the most frequently searched job titles are:
What job categories do people searching Audio Annotation jobs in Stockbridge, GA look for? The top searched job categories for Audio Annotation jobs in Stockbridge, GA are:
What cities near Stockbridge, GA are hiring for Audio Annotation jobs? Cities near Stockbridge, GA with the most Audio Annotation job openings:
Audio Annotation jobs near you

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

Dolby

Atlanta, GA • On-site

Full-time, Internship

Posted 17 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