ZipRecruiter

Log In

2

Remote Speech Research Jobs in Ridgewood, NJ (NOW HIRING)

Verbit

Business Development Executive

Manhattan, NY · Remote

$90K - $110K/yr

This is a remote position, with candidates required to reside within commuting distance of one of ... Verbit turns speech into impact. Our team of 250 professionals builds AI-driven solutions that help ...

All JobsSpeech Research JobsRemote Speech Research JobsRemote Speech Research Jobs in Ridgewood, NJ

Remote Speech Research information

See Ridgewood, NJ salary details

$11

$22

$37

How much do remote speech research jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for remote speech research in Ridgewood, NJ is $22.48, according to ZipRecruiter salary data. Most workers in this role earn between $17.50 and $24.09 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote speech researcher?

To thrive as a Remote Speech Researcher, you need a strong background in linguistics, phonetics, or computer science, often supported by an advanced degree in a related field. Familiarity with tools like Praat, Python, speech recognition APIs, and data analysis software is typically required. Excellent analytical thinking, attention to detail, and clear communication are crucial soft skills for interpreting data and collaborating with remote teams. These skills ensure accurate research outcomes, effective teamwork, and innovation in developing speech technologies.

What are some common challenges faced by professionals in remote speech research roles, and how can they be addressed?

Professionals in remote speech research often encounter challenges related to data quality and collaboration. Working remotely can make it difficult to access high-quality, diverse speech datasets and to synchronize with team members across time zones. To address these challenges, it's important to establish clear communication channels, use collaborative project management tools, and follow standardized data collection protocols. Regular virtual meetings and thorough documentation can also help maintain alignment and ensure research progress.

What is remote speech research?

Remote Speech Research involves studying and analyzing speech patterns, language processing, and communication technologies from a remote location, rather than in a traditional laboratory setting. Researchers in this field often work with audio data, develop speech recognition systems, and explore ways to improve human-computer interaction using voice. This work can include collecting speech samples, annotating data, and using machine learning models to advance speech technology. Remote Speech Researchers typically collaborate with linguists, engineers, and data scientists, and may work for universities, tech companies, or research institutions.
What job categories do people searching Remote Speech Research jobs in Ridgewood, NJ look for? The top searched job categories for Remote Speech Research jobs in Ridgewood, NJ are:
What cities near Ridgewood, NJ are hiring for Remote Speech Research jobs? Cities near Ridgewood, NJ with the most Remote Speech Research job openings:
Remote Speech Research jobs near you
Infographic showing various Remote Speech Research job openings in Ridgewood, NJ as of August 2026, with employment types broken down into 65% Full Time, 24% Part Time, 3% Temporary, and 8% Contract. Highlights an 100% Remote job distribution, with an average salary of $46,766 per year, or $22.5 per hour.

Senior Machine Learning Engineer (Remote)

Zencastr

New York, NY • On-site, Remote

$114K - $157K/yr

Full-time

Re-posted 25 days ago

Job description

The Role
We build end-to-end AI systems, core microservices, and infrastructures by leveraging cutting-edge technologies to impact millions with personalized user experiences everyday.
We are looking for an outstanding machine learning engineer to join our team! The role will provide an opportunity to work on large scale machine learning to improve the podcast creation experience at Zencastr.
You'll join a team of hardworking engineers that are passionate about understanding what drives users' long-term happiness with Zencastr, and how our recommendations and content affects that. As an integral part of the squad, you will collaborate with research scientists, data scientists and other engineers in prototyping and productizing brand-new ML at the intersection of speech processing and long-term user satisfaction.
What You'll Do..
  • Design, research and develop state-of-the-art machine learning applications and algorithms to improve the lives of podcasters and podcast listeners around the world
  • Collaborate with engineering partners and colleagues in large multi-functional efforts to build new product features that advise and enrich Zencastr's various ML services.
  • Drive forward audio and text capabilities within the ML team
  • Work with some of the brightest minds in signal processing

If This Describes You..
  • A postgraduate degree in Machine Learning, Mathematics, Computer Science, or a related quantitative field
  • 5 + years experience in Python
  • 3+ years experience in machine learning research, with a focus on speech
  • 3+ years experience training or deploying neural networks
  • Significant experience with machine learning libraries like PyTorch, Tensorflow, Scikit-Learn
  • Experience with building and operating production-ready ML systems
  • Ability to lead design and implementation of major software components, systems, and features
  • You enjoy quickly building model prototypes
  • Experience with cloud technologies (Google Cloud, AWS, Modal)
  • You are a self-starter who drives your own projects and builds positive relationships with partners and colleagues to solve big multi-functional efforts from start to finish. You are able to succeed with minimal mentorship and process.

Bonus points if you have:
  • Publications in peer-reviewed journals from a related field
  • Experience with modern speech processing frameworks
  • Good dev ops experience
  • Advanced DSP experience
  • MongoDB or SQL experience
  • Experience with unit, integration, and load testing
  • Experience building APIs
  • Experience with Docker containers, Implementing Docker Containers, Container Clustering
  • Experience with container orchestration technology such as Kubernetes a big plus

How to apply:
Apply at https://jobs.ashbyhq.com/zencastr/c6a9c3b0-f260-4820-bb97-e78142eabd1e
We are flexible! For the right candidate we ask: What do you need to do your best work?

Apply