Fully Remote Compensation: Hourly ($250) Company Overview: At Vosyn, we embrace the exciting, game ... Guide the implementation of robust testing methodologies for TTS models using industry standards ...
Fully Remote Compensation: Hourly ($250) Company Overview: At Vosyn, we embrace the exciting, game ... Guide the implementation of robust testing methodologies for TTS models using industry standards ...
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 the difference between Remote Audio Testing vs Remote Audio Editing?
| Aspect | Remote Audio Testing | Remote Audio Editing |
|---|---|---|
| Primary Role | Evaluate audio quality, identify issues, and ensure sound standards | Edit, enhance, and modify audio recordings for clarity and quality |
| Required Skills | Listening skills, attention to detail, basic audio software knowledge | Proficiency in audio editing software, sound design, and editing techniques |
| Work Environment | Remote, often in quality assurance or testing labs | Remote or studio-based, in post-production or content creation |
| Certifications | None typically required, but audio or QA certifications helpful | Audio 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 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 are popular job titles related to Remote Audio Testing jobs in Toronto, ON? For Remote Audio Testing jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Remote Audio Testing jobs in Toronto, ON look for? The top searched job categories for Remote Audio Testing jobs in Toronto, ON are:
$250/hr
Full-time
Posted 11 days ago
Job description
Job Title: ML Engineer (Speech-to-Speech) - Subject Matter Expert
Level: Senior SME
Department: Software Development
Status: Contract (10-15 hours/week)
Work location: Fully Remote
Compensation: Hourly ($250)
Company Overview: At Vosyn, we embrace the exciting, game-changing world of Artificial Intelligence, driving innovation and pioneering impactful projects across various industries. Our incubator, AI Venture Lab, nestled in the heart of Office146.com, is a crucible of entrepreneurial spirit, supported by intelligent processes and industry-leading best practices. We believe in fostering a culture of flexibility, continuous improvement, and solution-focused strategies. Here, every idea is welcomed, nurtured, and has the potential to scale to new heights. Currently, we're at the forefront of a significant IPO endeavor, a truly unicorn in the making. We invite you to be part of our journey and leave your imprint on the future of AI. At Vosyn, you will have the opportunity to engage with a fast-growing global organization with diversity of thought, experience, and cultures.
About the Role: We are seeking an experienced ML Engineer SME to provide strategic guidance and technical leadership on key components of our end-to-end speech-to-speech (S2S) pipeline. As a senior project advisor, you will collaborate with the VosynCore team, identifying solutions to complex challenges, particularly in text-to-speech (TTS) model development and optimization. Your expertise will be crucial in driving project progress and ensuring our S2S pipeline meets or exceeds industry standards for quality and performance.
Key Responsibilities:
- Provide expert-level advice and mentorship on the architecture, training, and production of text-to-speech (TTS) models
- Guide the implementation of robust testing methodologies for TTS models using industry standards like MOS testing
- Share expertise in distributed training, monitoring, and deployment of large-scale ML models on cloud platforms
- Lead latency optimization initiatives in real-time systems for high-quality speech-to-speech conversion
- Provide guidance on tuning TTS models for precise control over speech characteristics
- Share in-depth knowledge of various TTS model architectures and waveform generation methods
- Mentor the team on implementing advanced deep learning models for audio processing
- Guide the development of transformer architectures for complex TTS model development
Required Qualifications:
- 5+ years of proven experience in machine learning development focused on audio generation and TTS systems
- Extensive expertise in audio signal processing, particularly for human voices
- Deep experience with TTS models, including waveform generation and spectrogram-based methods
- Proven expertise in tuning TTS models for duration control and speech characteristics
- Strong proficiency in Python and machine learning frameworks such as PyTorch
- Experience with advanced deep learning models like WaveNet and transformer-based architectures
- Demonstrated experience in distributed training and deployment of ML models on cloud platforms
- Strong understanding of evaluation metrics for TTS systems
- Proven ability to provide technical leadership and actionable guidance
- Excellent communication and mentoring skills
Preferred Qualifications:
- Experience with real-time audio processing systems
- Background in speech synthesis research
- Knowledge of multiple languages and accents in TTS
- Experience with ML model optimization techniques
- Publications or patents in related fields
Additional Perks:
- Be part of the invigorating journey of a pre-seed AI startup in stealth mode
- Engage directly with senior management and strategic advisory board members
- Gain valuable experience in the bleeding-edge AI space
- Remote-first culture with flexible working arrangements
DEI and Workplace Safety: At Vosyn Inc., we are committed to fostering a diverse, equitable, and inclusive workplace where every employee feels valued and supported. We believe that diversity of thought, background, and experience enriches our company culture and enhances innovation. We are an equal-opportunity employer and encourage candidates from all walks of life to apply. As part of our commitment to creating a safe and healthy work environment, we prioritize workplace safety, adhering to all relevant regulations and promoting a culture of responsibility. We believe that a safe and inclusive workplace is essential for the well-being and success of our team members.
Recruitment Process:
- Initial Screening: Review of application and preliminary assessment
- Video Interview: In-depth discussion of ML expertise and role expectations
- Technical Panel Interview: Deep dive into audio processing experience and ML architecture approach
- Final Selection: Assessment of overall fit and alignment
- Offer and Onboarding: Equity compensation details and onboarding process.
Join a dynamic global organization that champions diversity in thought, experience, and culture. Our team is composed of top experts from around the world. We invite you to leverage your expertise, mentor future leaders, and thrive with us in this exciting journey.
Apply Now: Vosyn Careers