Internship Audio Analyst Jobs in Raleigh, NC (NOW HIRING)

As of Jun 13, 2026, the average yearly pay for internship audio analyst in Raleigh, NC is $71,216.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,000.00 and $84,600.00 per year, depending on experience, location, and employer.

As an Internship Audio Analyst, you can expect to be involved in projects such as analyzing audio data for quality control, supporting the development of speech recognition models, and assisting with the annotation and labeling of audio samples. You will often collaborate with data scientists, software engineers, and linguists to ensure audio datasets meet project requirements. Regular communication and teamwork are essential, as you'll contribute insights to improve model accuracy and help troubleshoot issues that arise during audio processing tasks.

An Internship Audio Analyst assists in analyzing, processing, and interpreting audio data, often for purposes such as media production, research, or development of audio technologies. Their tasks may include cleaning and organizing audio files, using software to extract features or identify patterns, and helping with the creation of reports or presentations based on their findings. Interns in this role work under the guidance of experienced audio analysts or engineers and may also be involved in testing and evaluating audio systems or tools. This position provides hands-on experience in the field of audio analysis and helps interns build technical and analytical skills relevant to careers in audio engineering, research, or data science.

To thrive as an Internship Audio Analyst, you need a basic understanding of audio engineering principles, sound analysis, and data interpretation, often demonstrated by coursework or related project experience. Familiarity with audio editing software (such as Audacity, Pro Tools, or Adobe Audition) and analytical tools is typically expected. Attention to detail, problem-solving abilities, and effective communication help you collaborate with teams and accurately interpret audio data. These skills ensure precise analysis, high-quality outcomes, and valuable contributions to audio-focused projects.