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Remote Audio Machine Learning Jobs in Michigan (NOW HIRING)

micro1 AI

Domain Expert - (STEM PhD)

Detroit, MI · Remote

$80 - $90/hr

Role Title: PhD Engineer (Electrical, Mechanical, Chemical) Role Type: Contractor Location: Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to

micro1 AI

Engineering AI Evaluator (PhD)

Detroit, MI · Remote

$80 - $90/hr

Role Title: PhD Engineer (Electrical, Mechanical, Chemical) Role Type: Contractor Location: Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to

OneStream

AI Engineer

Birmingham, MI · Remote

AI Engineer Location : Hybrid, United States Employment Type : Full-Time Benefits Offered : Vision, Medical, Life, Dental, 401K Gross Annual Base Salary : USD 95,000 - 133,000 Additional variable

OneStream

AI Engineer

Birmingham, MI · Remote

AI Engineer Location : Hybrid, United States Employment Type : Full-Time Benefits Offered : Vision, Medical, Life, Dental, 401K Gross Annual Base Salary : USD 95,000 - 133,000 Additional variable

OneStream

AI Product Specialist

Birmingham, MI · Remote

AI Product Specialist Location : Hybrid, United States Employment Type : Full-Time Benefits Offered : Vision, Medical, Life, Dental, 401K Gross Annual Base Salary : USD 75,000 - 95,000 Additional

DISHER

Vision Engineer

Detroit, MI · On-site +1

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation company that specializes in groundbreaking technologies for flawlessly manufacturing millions of

DISHER

Vision Engineer

Detroit, MI · Remote

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation company that specializes in groundbreaking technologies for flawlessly manufacturing millions of

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All JobsAudio Machine Learning JobsRemote Audio Machine Learning JobsRemote Audio Machine Learning Jobs in Michigan

Remote Audio Machine Learning information

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.

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 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.

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 are popular job titles related to Remote Audio Machine Learning jobs in Michigan? For Remote Audio Machine Learning jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Remote Audio Machine Learning jobs in Michigan look for? The top searched job categories for Remote Audio Machine Learning jobs in Michigan are:
What cities in Michigan are hiring for Remote Audio Machine Learning jobs? Cities in Michigan with the most Remote Audio Machine Learning job openings:
Remote Audio Machine Learning jobs near you
Technical Content Expert - Advanced Engineering

Technical Content Expert - Advanced Engineering

micro1 AI

Detroit, MI • Remote

$80 - $90/hr

Part-time

This job post has expired today. Applications are no longer accepted.

Job description

Role Title: PhD Engineer (Electrical, Mechanical, Chemical)


Role Type: Contractor


Location: Remote


micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to contribute to a high-impact customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Deliver authoritative written responses to complex engineering prompts in your area of expertise
  2. Review and interpret scientific literature to provide contextually accurate and current insights
  3. Design and document realistic experimental scenarios based on advanced engineering principles
  4. Analyze data and interpret results to inform AI training datasets with precision
  5. Apply sophisticated calculus and quantitative methodologies to problem-solving tasks
  6. Ensure clarity, accuracy, and completeness of all submitted materials based on provided guidelines
  7. Collaborate with project coordinators to refine prompt response quality as needed


Preferred Qualifications

  1. PhD in Electrical, Mechanical, or Chemical Engineering
  2. Demonstrated expertise in calculus, data analysis, research methodology, and experimental design
  3. Exceptional written and verbal communication skills with the ability to convey complex concepts clearly
  4. Strong literature review capabilities and familiarity with synthesizing scientific knowledge
  5. Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not required)
  6. Proven ability to produce "golden response" level deliverables with accuracy and completeness
  7. Detail-oriented mindset and commitment to high-quality, impactful contributions

Apply