2

Remote Audio Testing Jobs in Massachusetts (NOW HIRING)

Senior Engineer - Developer Experience Team

Boston, MA · On-site +1

$133.10K - $175.50K/yr

... F remote, T/W/TH in-office) East Coast - Remote At Magnite, we cultivate an environment of ... Improve the developer experience across the software lifecycle, from code authoring and testing ...

Remote Audio Testing information

What are the key skills and qualifications needed to thrive as a Remote Audio Tester, and why are they important?

To thrive as a Remote Audio Tester, you need a strong understanding of audio engineering principles, critical listening skills, and familiarity with industry standards, often supported by experience in sound production or audio technology. Proficiency with audio testing software, digital audio workstations (DAWs), and various hardware devices is commonly required. Attention to detail, effective communication, and self-motivation are essential soft skills for identifying issues and collaborating with remote teams. These skills and qualities are important to ensure accurate evaluations, maintain audio quality, and contribute to product improvements in distributed work environments.

What are some common challenges faced in a remote audio testing role, and how can they be addressed?

One common challenge in remote audio testing is ensuring consistent audio quality across various devices and network conditions, since you often don't have physical access to the hardware. To address this, testers typically use a wide range of emulators and real devices, and collaborate closely with developers to report and reproduce issues. Effective communication and attention to detail are crucial, as is the ability to document findings clearly for a distributed team. Staying organized and proactive about troubleshooting technical issues with remote setups can also help streamline the workflow.

What is remote audio testing?

Remote audio testing is the process of evaluating audio equipment, software, or digital content from a distance, often using online tools or platforms. Testers listen to audio samples, check sound quality, identify issues, and provide feedback, all from their home or another remote location. This job is important for companies developing audio products, apps, or streaming services to ensure a high-quality user experience. Remote audio testers may work as freelancers or be part of a quality assurance team.

What is the difference between Remote Audio Testing vs Remote Audio Editing?

AspectRemote Audio TestingRemote Audio Editing
Primary RoleEvaluate audio quality, identify issues, and ensure sound standardsEdit, enhance, and modify audio recordings for clarity and quality
Required SkillsListening skills, attention to detail, basic audio software knowledgeProficiency in audio editing software, sound design, and editing techniques
Work EnvironmentRemote, often in quality assurance or testing labsRemote or studio-based, in post-production or content creation
CertificationsNone typically required, but audio or QA certifications helpfulAudio engineering or editing certifications preferred

Remote Audio Testing focuses on evaluating audio quality and identifying issues, while Remote Audio Editing involves modifying and enhancing audio recordings. Both roles require audio knowledge but differ in technical skills and responsibilities, with testing emphasizing quality assurance and editing centered on creative and technical modifications.

What cities in Massachusetts are hiring for Remote Audio Testing jobs? Cities in Massachusetts with the most Remote Audio Testing job openings:
Infographic showing various Remote Audio Testing job openings in Massachusetts as of May 2026, with employment types broken down into 77% Full Time, 13% Part Time, and 10% Contract. Highlights an 100% Remote job distribution.

Remote QA Engineer (AI/ML Focus)

Special Projects Engineering LLC

Boston, MA • Remote

Full-time

Posted 29 days ago


Job description

bout Special Projects Engineering LLC

Special Projects Engineering is a small, elite team based in Seattle tackling complex, high-impact problems using advanced AI and automation. We work across domains like autonomous systems, predictive infrastructure, synthetic biology, and next-gen defense tech. When something hasn’t been done before, we don’t shy away — we build it.

What You’ll Do

As a QA Engineer focused on ML/AI systems, your mission is to ensure the reliability, accuracy, and stability of intelligent systems that operate in messy, real-world environments. You’ll design robust testing frameworks and evaluation pipelines to validate everything from perception models to full-stack ML deployments.

Responsibilities:

  • Develop and maintain automated test suites for machine learning pipelines and AI-enabled systems

  • Create testing strategies for models handling visual, audio, sensor, and textual data

  • Validate data inputs, model outputs, performance benchmarks, and edge-case behavior

  • Build tools for continuous integration and regression testing across ML components

  • Work with ML engineers to define evaluation metrics and acceptable thresholds

  • Help ensure models are safe, stable, and robust before deployment

  • Identify gaps in test coverage and build test plans that scale with the codebase

What We’re Looking For

  • 3+ years in software QA, test automation, or related role

  • Hands-on experience testing ML models or AI systems in production environments

  • Strong Python skills; bonus if you’ve worked with PyTorch, TensorFlow, or JAX

  • Familiarity with ML lifecycle and model validation techniques

  • Experience with CI/CD pipelines, test frameworks, and debugging tools

  • Detail-oriented mindset with strong instincts for edge cases and failure modes

  • Bonus: background in data validation, simulation environments, or robotics

Why Join Us

  • Remote first company

  • Competitive salary and equity

  • Flexible hours and remote-friendly culture

  • Full health, dental, and vision insurance

  • High-end GPU hardware and compute resources

  • Work on real-world AI systems with a high-caliber team

  • Fast-moving environment where your work directly impacts production

If you care about building AI that actually works, works well, and works safely — we’d love to talk.