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Podcast Audio Engineer Remote Jobs in Boston, MA

AI Data Engineer

Lexington, MA ยท Remote

$100K - $150K/yr

AI Data Engineer - Remote Bright Vision Technologies is a technology consulting and software ... Build ingestion systems for diverse modalities including text, image, audio, video, and structured ...

AI Data Engineer

Westford, MA ยท Remote

$100K - $150K/yr

AI Data Engineer - Remote Bright Vision Technologies is a technology consulting and software ... Build ingestion systems for diverse modalities including text, image, audio, video, and structured ...

Lead Video

Boston, MA ยท On-site +1

... audio and visual content that inspires and empowers millions of people globally ... We are the team behind the Golden Globe-nominated show The Mel Robbins Podcast, which is #1 most ...

Senior Software Engineer

Boston, MA ยท On-site +1

$130K - $150K/yr

This role is based in our Boston, MA headquarters (Seaport District) or is open to qualified remote ... The Next Generation), a magazine (Cook's Illustrated), cookbooks, a podcast (Proof), FAST channels ...

Senior Linux Device Programmer

Boston, MA ยท On-site +1

$170K - $185K/yr

Audio/Video codec implementation and optimization * Knowledge of network security protocols and ... This role can be remote or hybrid. Salary Range $170,000--$185,000 USD Owl Labs is an Equal ...

Senior Engineer

Boston, MA ยท On-site +1

$135K - $175K/yr

Remote At Magnite, we cultivate an environment of continuous growth and collaboration. Our work ... audio. Our tech fuels billions of transactions per day! About this team: The Budgeting & Pacing ...

Backend Engineer

Somerville, MA ยท On-site +1

$140K/yr

Your Impact You will play a critical role in bringing our world-class ML audio models to market ... Hybrid work: core in-office days with flexible remote options * Regular leadership and industry ...

Backend Engineer

Somerville, MA ยท On-site +1

$140K - $170K/yr

Your Impact You will play a critical role in bringing our world-class ML audio models to market ... Hybrid work: core in-office days with flexible remote options * Regular leadership and industry ...

Staff Backend Engineer

Somerville, MA ยท On-site +1

$140K - $170K/yr

Your Impact You will play a critical role in bringing our world-class ML audio models to market ... Hybrid work: core in-office days with flexible remote options * Regular leadership and industry ...

Staff Backend Engineer

Somerville, MA ยท On-site +1

$180K/yr

Your Impact You will play a critical role in bringing our world-class ML audio models to market ... Hybrid work: core in-office days with flexible remote options * Regular leadership and industry ...

Staff Fullstack Engineer

Somerville, MA ยท On-site +1

$170K - $200K/yr

Experience productionizing ML models or building on ML-powered APIs, especially audio/voice ... Hybrid work: core in-office days with flexible remote options * Regular leadership and industry ...

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Showing results 1-20

Podcast Audio Engineer Remote information

See Boston, MA salary details

$32K

$91.8K

$186.3K

How much do podcast audio engineer remote jobs pay per year?

As of Aug 9, 2026, the average yearly pay for podcast audio engineer remote in Boston, MA is $91,753.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,300.00 and $122,800.00 per year, depending on experience, location, and employer.

What are some common challenges faced by remote podcast audio engineers, and how can they be addressed?

Remote Podcast Audio Engineers often encounter challenges such as coordinating with hosts and guests across different time zones, maintaining consistent audio quality with varied recording setups, and managing real-time technical troubleshooting from a distance. Effective communication, using collaborative tools (like shared project management platforms and cloud storage), and setting up clear guidelines for recording can help address these issues. Regular check-ins with the production team and investing in reliable remote recording software are also key to ensuring smooth workflow and high-quality episodes.

What is a podcast audio engineer remote?

Podcast Audio Engineers (Remote) are professionals who specialize in recording, editing, mixing, and enhancing audio specifically for podcasts, all while working from a remote location. Their responsibilities include cleaning up audio tracks, balancing sound levels, adding effects or music, and ensuring the final product meets broadcast quality standards. Working remotely, they collaborate with hosts, producers, and other team members using digital tools and cloud-based platforms. Their expertise ensures that listeners enjoy clear, engaging, and professional-sounding podcasts.

What are the key skills and qualifications needed to thrive as a podcast audio engineer remote?

To excel as a Podcast Audio Engineer remotely, you need expertise in audio editing, mixing, and mastering, often backed by experience or a relevant degree in audio production. Familiarity with digital audio workstations (DAWs) like Adobe Audition, Pro Tools, or Audacity, and proficiency with remote collaboration tools are typically required. Outstanding time management, communication skills, and attention to detail help you meet deadlines and collaborate effectively with hosts and producers. These competencies ensure the delivery of high-quality audio content and seamless remote production workflows.

What is the difference between Podcast Audio Engineer Remote vs Podcast Sound Technician?

AspectPodcast Audio Engineer RemotePodcast Sound Technician
CredentialsAudio engineering certification, relevant experienceAudio or sound technology background, certifications optional
Work EnvironmentRemote, home studio setupStudio or remote, depending on employer
Industry UsageCommon in podcast production companies, freelancersUsed in live events, studio recordings, podcast setups
Search & Comparison IntentHigh overlap in audio skills, remote work focusSimilar audio skills, often in different settings

The main difference is that Podcast Audio Engineer Remote typically involves remote audio editing, mixing, and mastering for podcasts, often requiring specialized certifications. Podcast Sound Technicians may work in studio or live environments, focusing on sound setup and recording. Both roles share core audio skills but differ mainly in work setting and specific responsibilities.

What are the most commonly searched types of Podcast Audio Engineer jobs in Boston, MA? The most popular types of Podcast Audio Engineer jobs in Boston, MA are:
What are popular job titles related to Podcast Audio Engineer Remote jobs in Boston, MA? For Podcast Audio Engineer Remote jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Podcast Audio Engineer Remote jobs in Boston, MA look for? The top searched job categories for Podcast Audio Engineer Remote jobs in Boston, MA are:
Infographic showing various Podcast Audio Engineer Remote job openings in Boston, MA as of July 2026, with employment types broken down into 76% Full Time, 11% Part Time, and 13% Contract. Highlights an 100% Remote job distribution, with an average salary of $91,753 per year, or $44.1 per hour.

AI Data Engineer

Bright Vision Technologies

Lexington, MA โ€ข Remote

$100K - $150K/yr

Full-time

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

AI Data Engineer โ€“ Remote
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Job Title: AI Data Engineer
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $100,000โ€“$150,000 Annually
Experience Required: 10+ years
Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.
Job Summary:
We are seeking an AI Data Engineer to build and operate the large-scale data systems that power modern AI training and evaluation pipelines. The role combines deep data engineering expertise with a strong understanding of AI workloads, focusing on ingestion, transformation, quality assurance, lineage, and high-throughput delivery of data to training jobs across diverse modalities. The ideal candidate has experience operating petabyte-scale data systems, strong software engineering fundamentals, and clear understanding of how data infrastructure choices propagate into model quality and training efficiency.
Key Responsibilities
  • Design and operate large-scale data pipelines supporting AI training, evaluation, and continual improvement workflows.
  • Build ingestion systems for diverse modalities including text, image, audio, video, and structured signals.
  • Implement data cleaning, deduplication, filtering, and quality assurance at petabyte scale.
  • Develop dataset versioning, lineage, and provenance tracking systems suitable for reproducible training.
  • Build high-throughput data loading systems that maximize GPU utilization during training.
  • Implement labeling workflows, active learning pipelines, and human-in-the-loop data improvement systems.
  • Design storage architectures balancing cost, throughput, and latency across data tiers.
  • Build evaluation dataset construction pipelines with strict integrity and contamination controls.
  • Implement data privacy, redaction, and consent enforcement throughout the pipeline.
  • Collaborate with ML researchers and engineers to align data systems with model development needs.
  • Drive observability of data quality, drift, and pipeline health across the AI data estate.
  • Optimize cost and performance through compression, format selection, and caching strategies.
  • Document data systems, schemas, and operational procedures for broad internal use.
  • Stay current with AI data infrastructure research and emerging open-source tools.
Required Qualifications
  • Bachelorโ€™s or Masterโ€™s degree in Computer Science or a related field.
  • Ten or more years of data engineering experience, with significant work supporting ML or AI workloads.
  • Strong proficiency in Python and at least one JVM or systems language.
  • Deep experience with modern data processing frameworks such as Spark, Ray, or Beam.
  • Hands-on experience operating petabyte-scale storage and pipeline systems.
  • Strong understanding of distributed systems, data modeling, and storage formats.
  • Experience with dataset versioning, lineage, and reproducibility for ML workflows.
  • Familiarity with high-throughput data loading for accelerator-based training.
  • Strong software engineering practices including testing, CI/CD, and code review.
  • Excellent communication and cross-functional collaboration skills.
Preferred Qualifications
  • Experience with multimodal datasets at large scale.
  • Familiarity with data quality tooling and dataset evaluation methodology.
  • Exposure to privacy-preserving data systems and regulated data handling.
  • Open-source contributions to data infrastructure projects.
  • Experience supporting frontier model training pipelines.
How to Apply
Would you like to know more about this opportunity? For immediate consideration, please send your resume to venkat.r@bvteck.com or contact us at (908) 505-3899. Learn more about Bright Vision Technologies at www.bvteck.com.
Bright Vision Technologies is an Equal Opportunity Employer.
 

Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees\' ability to perform their job duties may result in disciplinary action up to and including termination of employment.