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Remote Audio Machine Learning Jobs in Claymont, DE

Lead Data Scientist

Chadds Ford, PA ยท On-site +1

$144K - $250K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Advanced machine learning modeling and/or technical expertise in developing market differentiation ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

Translate engineering requirements into structured CAD data suitable for AI learning and validation ... CNC machining. * Casting and forging. * Assembly modeling. * CAD editing and feature tree ...

New

Showing results 21-40

Remote Audio Machine Learning information

See Claymont, DE salary details

$28.8K

$82.4K

$167.3K

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

As of Aug 14, 2026, the average yearly pay for remote audio machine learning in Claymont, DE is $82,392.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,800.00 and $110,200.00 per year, depending on experience, location, and employer.

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?

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?

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 Claymont, DE?

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

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

The top searched job categories for Remote Audio Machine Learning jobs in Claymont, DE are:

Infographic showing various Remote Audio Machine Learning job openings in Claymont, DE as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $82,392 per year, or $39.6 per hour.

Instructional Design Coordinator

Ubertal Inc

King Of Prussia, PA โ€ข Remote

Contractor

Re-posted 29 days ago


Job description

Job Title: Instructional Design Coordinator (Contract, Remote)

Location: Remote (King of Prussia, PA)
Job Type: Contract | Full-Time (40 hours/week)
Start Date: October 6, 2025
End Date: December 31, 2025
About the Role

We are looking for skilled Instructional Design Coordinators to join the Technical Learning & Development team on a contract basis. This role focuses on creating high-quality, engaging technical training materials. The ideal candidate will combine strong instructional design expertise with hands-on experience in eLearning software, multimedia development, and rapid content production.

Key Responsibilities
  • Partner with subject matter experts and team members to develop effective training content.

  • Apply instructional design principles and adult learning theory to structure impactful learning experiences.

  • Create multimedia assets including video, audio, simulations, and interactive modules.

  • Ensure delivery of high-quality training content within tight timelines.

  • Maintain consistency using standard templates, tools, and corporate training guidelines.

Required Qualifications
  • Demonstrated experience with Articulate Storyline, Adobe Captivate, and ElevenLabs.

  • Strong knowledge of instructional design methodologies and adult learning principles.

  • Proficiency in multimedia development (video/audio editing, interactive content).

  • Excellent communication, collaboration, and organizational skills.

  • Proven ability to meet deadlines and manage multiple priorities independently.

Desired Skills
  • Experience supporting technical or compliance training projects.

  • Detail-oriented with a focus on accuracy and quality assurance.

  • Strong team player with the ability to work effectively with cross-functional SMEs.

Key Skills

Instructional Design | eLearning Development | Articulate Storyline | Adobe Captivate | ElevenLabs | Multimedia Editing | Adult Learning Theory | Content Development | Technical Training | Remote Collaboration