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Remote Audio Machine Learning Jobs in Houston, TX

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Software Engineer Analyst

Conroe, TX · 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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QA Engineer - AI Trainer

Houston, TX · 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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Backend Software Engineer

Sugar Land, TX · 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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Software Developer

Pearland, TX · 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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Application Developer

Pearland, TX · 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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Back End Developer

Pasadena, TX · 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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SDLC Engineer - AI Trainer

League City, TX · 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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Backend Developer

Conroe, TX · 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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Staff Software Engineer

League City, TX · 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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DevOps Engineer

Conroe, TX · 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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Software Developer

League City, TX · 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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Senior Software Engineer

League City, TX · 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 JobsAudio Machine Learning JobsRemote Audio Machine Learning JobsRemote Audio Machine Learning Jobs in Houston, TX

Remote Audio Machine Learning information

See Houston, TX salary details

$28.2K

$80.7K

$163.8K

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

As of May 30, 2026, the average yearly pay for remote audio machine learning in Houston, TX is $80,653.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,700.00 and $107,900.00 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 popular job titles related to Remote Audio Machine Learning jobs in Houston, TX? For Remote Audio Machine Learning jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Remote Audio Machine Learning jobs in Houston, TX look for? The top searched job categories for Remote Audio Machine Learning jobs in Houston, TX are:
What cities near Houston, TX are hiring for Remote Audio Machine Learning jobs? Cities near Houston, TX with the most Remote Audio Machine Learning job openings:
Remote Audio Machine Learning jobs near you
Data Science AI Engineer, Advisor

Data Science AI Engineer, Advisor

Gainwell Technologies LLC

Houston, TX • On-site, Remote

$117.80K - $168.30K/yr

Other

Medical, Life, Retirement, PTO

Posted 3 days ago

Gainwell Technologies rating

7.7

Company rating: 7.7 out of 10

Based on 72 frontline employees who took The Breakroom Quiz

103rd of 183 rated software companies

Job description

Be part of a team that unleashes the power of leading-edge technologies to help improve the health and well-being of those most vulnerable in our country and communities. Working at Gainwell carries its rewards. You'll have an incredible opportunity to grow your career in a company that values work flexibility, learning, and career development. You'll add to your technical credentials and certifications while enjoying a generous, flexible vacation policy and educational assistance. We also have comprehensive leadership and technical development academies to help build your skills and capabilities.
Summary
Gainwell Technologies is seeking a highly skilled AI Engineer to design, develop, and deploy advanced AI solutions, including Generative AI (GenAI), across our healthcare technology platforms. This role involves building and optimizing AI technologies, integrating them into existing systems, and ensuring their effectiveness in improving healthcare outcomes and operational efficiency while maintaining compliance with industry standards.
Your role in our mission
  • AI Model Development - Design and build AI Solutions that use machine learning models, including GenAI, NLP, and predictive analytics solutions for healthcare applications.
  • End-to-End AI Solution Deployment - Develop, test, and deploy AI solutions in cloud and on-premise environments, ensuring reliability, scalability, and real-world impact.
  • Data Engineering & Processing - Work with large healthcare datasets, performing data preprocessing, feature engineering, and model training while ensuring compliance with HIPAA and other regulatory standards.
  • System Integration - Implement and optimize AI solutions within Gainwell's existing technology stack, collaborating with engineering teams to ensure seamless integration.
  • Performance Optimization - Continuously monitor, refine, and optimize AI solutions for accuracy, efficiency, and speed, leveraging MLOps best practices.
  • AI Research & Innovation - Stay updated with the latest AI/ML advancements, exploring new technologies and methodologies to enhance solution effectiveness.
  • Compliance & Security - Ensure AI implementations adhere to healthcare industry regulations, ethical AI principles, and data privacy standards.
  • Automation & Workflow Enhancement - Identify opportunities to automate workflows and optimize business processes using AI-driven solutions.

What we're looking for
  • Master's or Ph.D in Computer Science, AI, Data Science, or a related field.
  • 5+ years of experience in AI/ML engineering, with a focus on developing and deploying AI solutions.
  • Hands-on expertise in production operations involving machine learning, deep learning and GenAI.
  • Strong programming skills in Python, AI Agent Frameworks (Langchain, Crew.ai), TensorFlow, PyTorch, and other AI frameworks.
  • Experience developing, deploying and finetuning LLMs (GPT, Gemini, Claude or similar) for real world applications including prompt engineering, model optimization, and inference efficiency.
  • Experience with cloud platforms (AWS, Azure, or Google Cloud Platform) and MLOps for scalable AI deployments.
  • Proficiency in working with big data technologies (Spark, Hadoop, SQL, NoSQL databases).
  • Strong problem-solving skills with the ability to translate business challenges into AI-driven solutions.
  • Knowledge of healthcare AI applications and regulatory compliance (HIPAA, CMS) is a plus.

What you should expect in this role
  • Fully Remote Opportunity - Work from anywhere in the U.S.
  • Minimal Travel Required - Occasional travel opportunities (0-10%).
  • Opportunity to Work on Cutting-Edge AI Solutions in a mission-driven healthcare technology environment.
  • Video cameras must be used during all interviews, as well as during the initial week of orientation
  • The Deadline to submit applications for this posting is June 24, 2026

The pay range for this position is $117,800.00 - $168,300.00 per year, however, the base pay offered may vary depending on geographic region, internal equity, job-related knowledge, skills, and experience among other factors. Put your passion to work at Gainwell. You'll have the opportunity to grow your career in a company that values work flexibility, learning, and career development. All salaried, full-time candidates are eligible for our generous, flexible vacation policy, a 401(k) employer match, comprehensive health benefits , and educational assistance. We also have a variety of leadership and technical development academies to help build your skills and capabilities.
We believe nothing is impossible when you bring together people who care deeply about making healthcare work better for everyone. Build your career with Gainwell, an industry leader. You'll be joining a company where collaboration, innovation, and inclusion fuel our growth. Learn more about Gainwell at our company website and visit our Careers site for all available job role openings.
Gainwell Technologies is an Equal Opportunity Employer, where all qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical condition), age, sexual orientation, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Gainwell Technologies defines "wages" and "wage rates" to include "all forms of pay, including, but not limited to, salary, overtime pay, bonuses, stock, stock options, profit sharing and bonus plans, life insurance, vacation and holiday pay, cleaning or gasoline allowances, hotel accommodations, reimbursement for travel expenses, and benefits.

What Gainwell Technologies employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Gainwell Technologies

Sourced by ZipRecruiter

With Health and Cost outcomes that pierce Inequities and Impact Economies, the success of our Nation’s Federal Medicaid program is inextricably tied to the Prosperity of Communities, States and the Nation as a whole. We think that deserves Respect and a Commitment from Innovators who can help those who operate within and around health and human services evolve to meet their goals. At Gainwell, that’s our Sole focus. Built across more than Five Decades, Gainwell has intentionally seized opportunities to advance its digitally enabled services to meet Agencies, Health plans and MCOs where they are on their modernization journeys and propel them into the future of Healthcare. Equally important to our Expanding Technologies and Results. We bring ideas that bring policies to life.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Irving, TX, US

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