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Remote Audio Machine Learning Jobs in Elgin, IL (NOW HIRING)

WEX

Sr. Staff AI/ML Engineer

Chicago, IL · On-site +1

$220K - $255.80K/yr

This is a remote position ; however, the candidate must reside within 30 miles of one of the ... Lead the design, implementation, and production deployment of machine learning and AI-driven ...

SECURE RPO LLC

Data Scientist

Chicago, IL · On-site +1

... remote monitoring and data analytics methods to continuously improve EHC efficiency and ... Experience formulating and solving optimization, machine learning, forecasting, and/or statistical ...

DataAnnotation

QA Engineer - AI Trainer

Elgin, IL · Remote

$40 - $75/hr

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

Senior Software Engineer

Aurora, IL · Remote

$40 - $75/hr

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

Back End Developer

Chicago, IL · Remote

$40 - $75/hr

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

SDLC Engineer - AI Trainer

Aurora, IL · Remote

$40 - $75/hr

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

Software Engineer Analyst

Aurora, IL · Remote

$40 - $75/hr

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

Software Developer

Chicago, IL · Remote

$40 - $75/hr

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

Full Stack Developer

Chicago, IL · Remote

$40 - $75/hr

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

Mobile Software Engineer

Chicago, IL · Remote

$40 - $75/hr

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

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All JobsRemote Audio Machine Learning JobsRemote Audio Machine Learning Jobs in Elgin, IL

Remote Audio Machine Learning information

See Elgin, IL salary details

$29.2K

$83.5K

$169.5K

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

As of May 31, 2026, the average yearly pay for remote audio machine learning in Elgin, IL is $83,485.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,400.00 and $111,700.00 per year, depending on experience, location, and employer.

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

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 a Remote Audio Machine Learning job?

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 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 the most commonly searched types of Audio Machine Learning jobs in Elgin, IL? The most popular types of Audio Machine Learning jobs in Elgin, IL are:
What are popular job titles related to Remote Audio Machine Learning jobs in Elgin, IL? For Remote Audio Machine Learning jobs in Elgin, IL, the most frequently searched job titles are:
What cities near Elgin, IL are hiring for Remote Audio Machine Learning jobs? Cities near Elgin, 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 Elgin, IL as of May 2026, with employment types broken down into 93% Full Time, 6% Part Time, and 1% Nights. Highlights an 37% Physical, 3% Hybrid, and 60% Remote job distribution, with an average salary of $83,485 per year, or $40.1 per hour.
Sr. Staff AI/ML Engineer

Sr. Staff AI/ML Engineer

WEX

Chicago, IL • On-site, Remote

$220K - $255.80K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago

WEX Inc. rating

7.5

Company rating: 7.5 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

10th of 17 rated payment service providers

Job description

Job Description
Location:This is a remote position; however, the candidate must reside within 30 miles of one of the following locations: Portland, ME; Boston, MA; Chicago, IL; Dallas, TX; San Francisco Bay Area, CA; and Seattle/WA.

Team:AI Platform Engineering, WEX Inc.

About WEX and the AI Platform Team

At WEX, we're transforming how businesses operate by embedding advanced AI into our global payments and mobility platforms. The AI Engineering team enables product development groups across WEX to build, deploy, and scale AI-powered experiences quickly and safely. We're cloud-first, automation-driven, and passionate about building systems that make AI a core part of our products-reliably, securely, and at scale.

If you're excited by Large Language Models, Agentic AI systems, MLOps, and cutting-edge production pipelines-and you thrive in fast-moving teams where innovation meets real-world impact-this is the role for you.

What You'll Do

  • Lead the design, implementation, and production deployment of machine learning and AI-driven systems-including LLM-based and agentic applications.

  • Partner with AI platform and product engineering teams to integrate advanced AI capabilities into WEX's enterprise systems.

  • Design and maintain ML pipelines, from data ingestion to model deployment, ensuring scalability, observability, and reusability across teams.

  • Build and expose AI functionality via RESTful APIs and micro-services architectures.

  • Champion engineering best practices: CI/CD, infrastructure-as-code, testing automation, and continuous improvement.

  • Contribute to architectural decisions with a focus on security, compliance, and performance-especially in regulated industries such as payments and healthcare.

  • Collaborate cross-functionally with data scientists, ML engineers, and business stakeholders to align technical solutions with strategic goals.

What You'll Bring

  • 12+ years of professional software or ML engineering experience, with a track record of deploying production-grade AI systems.

  • Proficiency in Python and key machine learning frameworks (PyTorch, TensorFlow, or similar).

  • Strong working knowledge of core libraries (NumPy, Pandas, scikit-learn) and LLM development frameworks (LangChain, ADK, or similar).

  • Experience with cloud platforms (AWS preferred; Azure or GCP also valuable) and Infrastructure-as-Code tools like Terraform.

  • Deep familiarity with CI/CD pipelines and DevOps practices using GitHub Actions or similar platforms.

  • Demonstrated ability to operate in agile, collaborative, high-trust teams.

  • Bachelor's degree in Computer Science, Engineering, or a related discipline (Master's preferred).

  • Bonus: Experience in financial systems, data compliance, or building multi-tenant Agentic AI applications.

Why Join WEX

You'll work within a lean, high-impact engineering group that values curiosity, autonomy, and real-world problem-solving. We move fast but balance innovation with responsibility-because AI at WEX touches millions of businesses and end users.

Join us to help evolve intelligent systems that change how enterprises move money and make decisions.

The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more. For more information, check out the "About Us" section.Pay Range: $220,000.00 - $255,800.00

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