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Remote Audio Machine Learning Jobs in Naperville, IL

NinjaHoldings

Data Engineer

Chicago, IL · On-site +1

$100K - $145K/yr

Job Summary We are looking for a Data Engineer to join a team of analytics and machine learning ... Flexible, remote work * Fun, fast-paced work environment * Dynamic start-up culture * Ability to ...

NinjaHoldings

Data Engineer

Chicago, IL · On-site +1

$100K - $145K/yr

Job Summary We are looking for a Data Engineer to join a team of analytics and machine learning ... Flexible, remote work * Fun, fast-paced work environment * Dynamic start-up culture * Ability to ...

Strike Social

Senior Data Scientist

Chicago, IL · Remote

Machine Learning, Real-time Analytics, and Experimental Modeling on the Strike Marketing Cloud/Data ... Working hours are flexible and remote work is encouraged. We are an equal opportunity employer and ...

YO AI Labs

AI Data Scientist - Remote

Chicago, IL · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

New

Performacentric

Full Stack Developer

OR · On-site +1

Remote (Preferred: Philippines, Latin America, or North America) Employment Type: Full-Time / ... Candidates with experience in machine learning, large language models (LLMs), AI agents, and ...

Adidev Technologies

AI/ML

Des Plaines, IL · Remote

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Support, even from afar, with our remote assistance. * Regular salary reviews? You betcha! Ready to ...

YO AI Labs

Mental Health Expert - Remote

Chicago, IL · Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... machine learning applications. Key Responsibilities * Design, implement, and optimize AI/ML ...

YO AI Labs

AI Data Scientist Expert - Remote

Chicago, IL · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

YO AI Labs

AI/ML Engineer - Remote

Chicago, IL · Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... machine learning applications. Key Responsibilities * Design, implement, and optimize AI/ML ...

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Showing results 41-60

All JobsAudio Machine Learning JobsRemote Audio Machine Learning JobsRemote Audio Machine Learning Jobs in Naperville, IL

Remote Audio Machine Learning information

See Naperville, IL salary details

$29.5K

$84.3K

$171.2K

How much do remote audio machine learning jobs pay per year?

As of Sep 15, 2026, the average yearly pay for remote audio machine learning in Naperville, IL is $84,330.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,900.00 and $112,800.00 per year, depending on experience, location, and employer.

What is a remote audio machine learning?

A Remote Audio Machine Learning job involves using machine learning techniques to analyze, process, or generate audio data while working from a remote location. Professionals in this field develop algorithms for tasks such as speech recognition, music classification, noise reduction, or audio synthesis. They often work with large datasets, build and train models, and collaborate with teams online. These roles typically require skills in programming, signal processing, and experience with machine learning frameworks.

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

To thrive as a Remote Audio Machine Learning Engineer, you need strong foundations in digital signal processing, machine learning algorithms, and programming (often Python), typically supported by a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, and audio processing libraries (e.g., LibROSA), as well as experience with cloud platforms, is highly valuable. Excellent problem-solving skills, self-motivation, and clear remote communication are essential soft skills for collaborating across distributed teams. These competencies enable the development of robust, innovative audio ML solutions while ensuring effective teamwork and project delivery in a remote setting.

How does a remote audio machine learning role typically collaborate with cross-functional teams, and what communication tools are commonly used?

In a Remote Audio Machine Learning position, collaboration with cross-functional teams such as software engineers, data scientists, and product managers is essential. Regular communication is maintained through tools like Slack, Zoom, and project management platforms such as Jira or Trello. Team members often participate in virtual stand-ups, sprint planning sessions, and code reviews to ensure alignment on project goals and timelines. Effective asynchronous communication and clear documentation are especially important in remote settings to keep everyone informed and foster a productive workflow.

What is the difference between Remote Audio Machine Learning vs Remote Audio Engineer?

AspectRemote Audio Machine LearningRemote Audio Engineer
Required CredentialsBackground in machine learning, data science, or AI; often a degree in computer science or related fieldsAudio engineering, sound design, or music production degree or certification
Work EnvironmentPrimarily focused on developing algorithms, data analysis, and model training, often in a tech or research settingRecording, mixing, editing audio, often in studios or remote production setups
Employer & Industry UsageTech companies, research labs, AI startups working on audio recognition or enhancementMusic, film, broadcasting, and media production companies

Remote Audio Machine Learning specialists focus on developing algorithms to process and analyze audio data, while Remote Audio Engineers handle the practical aspects of recording and editing sound. Both roles may collaborate but serve different functions within the audio industry.

What are popular job titles related to Remote Audio Machine Learning jobs in Naperville, IL?

For Remote Audio Machine Learning jobs in Naperville, IL, the most frequently searched job titles are:

What job categories do people searching Remote Audio Machine Learning jobs in Naperville, IL look for?

The top searched job categories for Remote Audio Machine Learning jobs in Naperville, IL are:

What cities near Naperville, IL are hiring for Remote Audio Machine Learning jobs?

Cities near Naperville, IL with the most Remote Audio Machine Learning job openings:

Remote Audio Machine Learning jobs near you
Infographic showing various Remote Audio Machine Learning job openings in Naperville, IL as of June 2026, with employment types broken down into 93% Full Time, 4% Part Time, 1% Temporary, and 2% Contract. Highlights an 42% Physical, 2% Hybrid, and 56% Remote job distribution, with an average salary of $84,330 per year, or $40.5 per hour.

COBOL Developer - Remote

Chicago, IL • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$100 - $150/hr

Full-time

Posted 2 days ago

New

Job description

COBOL Developer – Remote

Role Type: Contractor
Location: Remote

Role Overview

We are seeking experienced COBOL Developers to contribute their expertise to a high-impact customer project focused on training and improving next-generation AI systems. In this role, you will apply your deep knowledge of COBOL, mainframe environments, and legacy systems to evaluate technical content, document business logic, and provide expert feedback.

No prior AI experience is required—your COBOL and mainframe expertise is what matters most.

Key Responsibilities
  • Analyze and interpret existing COBOL codebases, workflows, and business logic.
  • Develop clear and accurate documentation of COBOL programs, system processes, and technical requirements.
  • Review and evaluate COBOL code, pseudocode, and project scenarios for accuracy and completeness.
  • Identify edge cases, ambiguities, potential defects, and areas requiring clarification.
  • Annotate COBOL scripts and technical content to support the development of high-quality AI training datasets.
  • Design and review test cases and scenarios representing real-world COBOL and mainframe applications.
  • Provide expert guidance on legacy system architecture, integrations, and dependencies.
  • Collaborate with project coordinators and technical experts through clear written and verbal communication.
  • Ensure all submitted technical materials meet high standards of accuracy, consistency, and completeness.
  • Support projects involving legacy-system modernization, migration, integration, or transformation where applicable.
Required Qualifications
  • Proven professional experience as a COBOL Developer or Mainframe Developer.
  • Strong proficiency in COBOL programming and legacy application environments.
  • Experience working with mainframe systems and related technologies.
  • Strong understanding of complex legacy codebases, business rules, and system workflows.
  • Excellent analytical and problem-solving skills.
  • Ability to explain complex technical concepts clearly and accurately.
  • Strong technical writing and documentation skills.
  • Exceptional attention to detail.
  • Ability to work independently and manage multiple deliverables in a remote environment.
Preferred Qualifications
  • Experience with large-scale mainframe migration, modernization, or integration projects.
  • Familiarity with JCL, DB2, CICS, VSAM, or other common mainframe technologies.
  • Experience reviewing or documenting legacy enterprise applications.
  • Experience creating technical test scenarios or validating business logic.
  • Experience working with distributed or remote technical teams.
  • Prior experience contributing domain expertise to AI, data, or machine-learning projects is a plus, but not required.
Skills
  • COBOL
  • Mainframe Development
  • Legacy Systems
  • JCL
  • DB2
  • CICS
  • VSAM
  • Code Analysis
  • Technical Documentation
  • Business Logic Analysis
  • Test Case Design
  • Problem Solving
  • Attention to Detail
  • Technical Communication
  • Remote Collaboration