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Audio Captioning Jobs (NOW HIRING)

Consequently, experience with audio models, language models, question answering, vision-language models, captioning, etc. would be highly beneficial. What You Will Accomplish • Partner closely with ...

Run the livestream and broadcast stack end-to-end: cameras, switchers, encoders, audio, captioning, and the platforms we distribute through (Zoom, Slack, internal channels). * Partner with Internal ...

$18 - $23.50/hr

Audio ranges from clean studio recordings to natural conversational speech in real-world acoustic ... At least two years of professional transcription, captioning, court reporting, broadcast ...

Closed-captioning and proofing same * Read-along tracks and proofing same * Proofing video and audio titles against written script * Touching up sound design * Provide quick fixes and edits on-the ...

... live auto-captioning, audio description, transcription, and subtitling services. Founded in 2007, the company is headquartered in Boston, USA, with a team of 51-200 employees. The company is ...

... live auto-captioning, audio description, transcription, and subtitling services. Founded in 2007, the company is headquartered in Boston, USA, with a team of 51-200 employees. The company is ...

Familiarity with captioning for large-scale data, including designing or applying automated captioning pipelines for image, video, and audio datasets. * Strong coding and prototyping ability in ...

Familiarity with captioning for large-scale data, including designing or applying automated captioning pipelines for image, video, and audio datasets. * Strong coding and prototyping ability in ...

Senior Applied Data Scientist

Boston, MA · On-site +1

$150K - $180K/yr

In short, you'll be a full-stack applied data scientist and software developer. 3Play Media has diverse business and technical challenges related to media transcription, captioning, audio description ...

Assuring quality control of inbound and outbound audio, video and closed captioning. * Basic understanding of Studio Control Operations, including audio mixing, digital video effects and switching ...

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Audio Captioning information

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$29.5K

$84.5K

$171.5K

How much do audio captioning jobs pay per year?

As of Jul 14, 2026, the average yearly pay for audio captioning in the United States is $84,456.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $113,000.00 per year, depending on experience, location, and employer.

Is captioning in high demand?

Audio captioning is in increasing demand due to the growth of digital content and accessibility requirements. Skilled captioners who are proficient with tools like speech recognition software and have a good understanding of accessibility standards are often sought after in media, education, and corporate sectors.

What is an Audio Captioning job?

An Audio Captioning job involves listening to audio content and creating accurate text descriptions or captions. This may include transcribing speech, describing background sounds, and ensuring captions are synchronized with the audio. Professionals in this role work on media such as videos, podcasts, or live broadcasts to improve accessibility for individuals who are deaf or hard of hearing. Strong listening skills, attention to detail, and familiarity with captioning software are essential for success in this field.

How do you become a captioner?

To become an audio captioner, individuals typically need strong listening skills, proficiency in English, and familiarity with captioning software. Many start with a high school diploma or equivalent, complete specialized training or certification in captioning, and gain experience through practice or entry-level positions. Attention to detail and the ability to work under deadlines are also important.

What are some common challenges faced in Audio Captioning roles, and how can I prepare for them?

One of the most common challenges in audio captioning is dealing with poor audio quality, heavy accents, overlapping speech, or specialized terminology, which can make accurate transcription more difficult. To prepare for these challenges, it's important to have strong comprehension skills, practice with a variety of audio samples, and become comfortable using audio editing tools to enhance clarity. Many roles also require you to meet tight deadlines, so time management and the ability to maintain accuracy under pressure are crucial. Learning industry best practices and familiarizing yourself with the latest captioning software can also help you excel in this field.

Can I get paid to caption videos?

Audio captioning is a job that involves creating text descriptions of audio content for accessibility or content enhancement, and many companies pay for these services. Payment can be based on per project, hourly, or per minute of audio, and skills in transcription, audio editing, and familiarity with captioning tools are often required.

What are the key skills and qualifications needed to thrive in the Audio Captioning position, and why are they important?

To thrive in Audio Captioning, you need excellent listening skills, strong command of grammar and spelling, and attention to detail, often supported by relevant training or experience in transcription or captioning. Familiarity with audio editing and captioning software such as Adobe Premiere Pro, Aegisub, or specialized captioning platforms is commonly required. Outstanding time management, focus, and the ability to work independently are key soft skills for this role. These skills ensure captions are accurate, delivered on deadline, and compliant with accessibility standards for various audiences.

How much money do captioners make?

Audio captioners typically earn between $15 and $50 per hour, depending on experience, skill level, and the complexity of the content. Many work as freelancers or for transcription companies, with some earning additional income through specialized certifications or tools like captioning software.
More about Audio Captioning jobs
What states have the most Audio Captioning jobs? States with the most job openings for Audio Captioning jobs include:
Infographic showing various Audio Captioning job openings in the United States as of July 2026, with employment types broken down into 77% Full Time, 20% Part Time, 1% Temporary, and 2% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $84,456 per year, or $40.6 per hour.
Sr. Foundational Audio AI Researcher

Sr. Foundational Audio AI Researcher

Dolby Laboratories, Inc.

Atlanta, GA

Other

Re-posted 16 days ago


Job description

Join the leader in entertainment innovation and help us design the future. At Dolby, science meets art, and high tech means more than computer code. As a member of the Dolby team, you'll see and hear the results of your work everywhere, from movie theaters to smartphones. We continue to revolutionize how people create, deliver, and enjoy entertainment worldwide. To do that, we need the absolute best talent. We're big enough to give you all the resources you need, and small enough so you can make a real difference and earn recognition for your work. We offer a collegial culture, challenging projects, and excellent compensation and benefits, not to mention a Flex Work approach that is truly flexible to support where, when, and how you do your best work.

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. Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT.

Dolby is looking for a talented Senior AI Researcher to join Dolby's research efforts to develop the next generation of AI based audio and video technologies. You will work with Dolby's world-class audio and vision experts to invent new multimedia analysis, processing and rendering technologies. As a part of a global team, the Senior AI Researcher will work on ideas exploring new horizons in multi-modal media processing, analysis, replay and organization. You will be responsible for performing fundamental new research, transferring technology to product groups, and draft patent applications.

Summary

You will push the boundaries of the state-of-the-art in audio and media technologies. The ideal candidate would have a strong background in deep learning, both in terms of conceptual understanding, as well as practical experience. A core aspect of this role involves being able to keep up to date with the literature, implement, and innovate with the bleeding edge in generative models, self-supervised learning, and multi-modal learning.

With the explosion of multi-modal foundation models and the growing capabilities of vision-language and audio-language systems, you will partner closely with Dolby's Applied AI team, which actively pursues the integration of these cutting-edge technologies into next-generation audio and media experiences. You will be able to hit the ground running, innovate, and contribute to impactful projects that leverage the latest advancements in AI. Consequently, experience with audio models, language models, question answering, vision-language models, captioning, etc. would be highly beneficial.

What You Will Accomplish

 Partner closely with other domain experts to refine and execute Dolby's technical strategy in artificial intelligence and machine learning.

 Use deep learning to create new solutions (including foundation models) and enhance existing applications.

 Push the state-of-the-art and develop intellectual property.

 Transfer technology to product groups and draft patent applications.

 Advise internal leaders on recent deep learning advancements in the industry and academia to further influence research direction and business decisions.

Key Requirements

 Ph.D. in Computer Science or similar field.

 A strong background in deep learning, both in terms of conceptual understanding, as well as practical experience.

 Knowledge in audio, video, or text processing is desirable.

 Strong publication record, with publications in major machine learning conferences (e.g. NeurIPS, ICLR, ICML). Publications in top domain-specific conferences is desirable (e.g., ACL, CVPR, ICASSP).

 Good knowledge about current machine learning literature.

 Highly skilled in Python and one or more popular deep learning frameworks (TensorFlow or PyTorch).

 Ability to envision new technologies and turn them into innovative products.

Good communication and collaboration skills.

Consequently, knowledge or experience in any/all of the following are helpful:

 Diffusion, autoregressive, or other generative models.

 Self-supervised, contrastive learning, auto-encoders.

 Audio, image, or text applications - Source separation, text-to-speech, music synthesis, image segmentation, image captioning, question answering, language models, etc.

Learn more about our innovative research: https://www.dolby.com/about/innovation/empowering/

The Atlanta Area base salary range for this full-time position is $137,500-$168,200, which can vary if outside this location, plus bonus, benefits, and some roles may also include equity. Our salary 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, competencies, experience, market demands, internal parity, and relevant education or training. Your recruiter can share more about the specific salary 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.