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Part Time Audio Signal Processing Machine Learning Jobs

Mindrift

Machine Learning Developer (Freelance)

$90/hr

... to part-time, non-permanent projects. Ideally, contributors will have: * 5+ years of hands-on ... Expert statistical analysis and machine learning - deep understanding of algorithms, methods, and ...

Mindrift

Freelance Machine Learning Engineer

$90/hr

... to part-time, non-permanent projects. Ideally, contributors will have: * 5+ years of hands-on ... Expert statistical analysis and machine learning - deep understanding of algorithms, methods, and ...

Censys

Senior Machine Learning Engineer

$125.40K - $165.30K/yr

Role Summary: We're looking to hire a Senior Machine Learning Engineer to build models and data ... To ensure the integrity of our hiring process and facilitate a more personal connection, we require ...

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Part Time Audio Signal Processing Machine Learning information

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$53.5K

$131.3K

$193.5K

How much do part time audio signal processing machine learning jobs pay per year?

As of Jun 1, 2026, the average yearly pay for part time audio signal processing machine learning in the United States is $131,349.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,500.00 and $147,500.00 per year, depending on experience, location, and employer.

What is the difference between Part Time Audio Signal Processing Machine Learning vs Part Time Audio Engineering?

AspectPart Time Audio Signal Processing Machine LearningPart Time Audio Engineering
Required SkillsAudio signal processing, machine learning, programmingSound recording, mixing, live sound, equipment operation
Work EnvironmentResearch labs, tech companies, software developmentRecording studios, live venues, broadcast stations
CertificationsAudio processing, machine learning certifications, programming coursesAudio engineering degrees, certification programs
Industry UsageTech, research, AI-driven audio applicationsMusic, broadcasting, live events

Part Time Audio Signal Processing Machine Learning focuses on developing algorithms for audio analysis and enhancement using machine learning techniques, often in research or tech settings. In contrast, Part Time Audio Engineering involves hands-on work with sound recording, mixing, and live sound management. While both roles require audio knowledge, the former emphasizes technical programming skills, whereas the latter centers on practical audio production skills.

More about Part Time Audio Signal Processing Machine Learning jobs
What are the most commonly searched types of Audio Signal Processing Machine Learning jobs? The most popular types of Audio Signal Processing Machine Learning jobs are:
What job categories do people searching Part Time Audio Signal Processing Machine Learning jobs look for? The top searched job categories for Part Time Audio Signal Processing Machine Learning jobs are:
Part Time Audio Signal Processing Machine Learning jobs near you
Infographic showing various Part Time Audio Signal Processing Machine Learning job openings in the United States as of May 2026, with employment types broken down into 14% As Needed, 14% Full Time, 58% Part Time, and 14% Temporary. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $131,349 per year, or $63.1 per hour.
Instructor, Microsoft AI Machine Learning, Simplilearn (Part time)

Instructor, Microsoft AI Machine Learning, Simplilearn (Part time)

Fullstack Academy

Remote

Part-time

Posted 2 days ago

Job description

About: Simplilearn
Simplilearn is the world's #1 online Bootcamp provider, enabling learners around the globe with rigorous and highly specialized training offered in partnership with world-renowned universities and leading corporations. We focus on emerging technologies and skills, such as data science, cloud computing, programming, and more - that are transforming the global economy. Our training is hands-on and immersive, including live virtual classes, integrated labs and projects, 24x7 support, and a collaborative learning environment. Over two million professionals and 2000 corporate training organizations across 150 countries have harnessed our award-winning programs to achieve their career and business goals.
Simplilearn has collaborated with Fullstack Academy to leverage its widespread footprint in the US region and partnerships with Top US universities to grow internationally.
Requirements
ABOUT THE ROLE
As an Instructor at Simplilearn, you will play a vital role in shaping the future of artificial intelligence and machine learning aspirants and professionals. Specifically, you will deliver content from our AI and Machine Learning Post Graduate Program, developed in collaboration with Microsoft. This program is designed to provide learners with comprehensive knowledge and hands-on experience in building intelligent systems using machine learning, deep learning, and neural networks.
In this role, you will lead live online classes, mentor students through lab exercises and real-world projects, and facilitate discussions that connect AI/ML concepts to practical business applications. By breaking down complex theoretical ideas into easy-to-understand modules, you'll help learners become proficient in the tools and techniques that drive AI innovation across industries.
This is a part-time, remote role. All sessions are conducted live in a fully online, interactive format.
RESPONSIBILITIES
In this role, you will:
  • Create a positive, professional and inclusive learning environment, by:
  • Teaching select lessons in accordance with learning objectives and fidelity to session plans provided by Simplilearn
  • Employing strategies known to meet the needs of adult learners, including leveraging tech tools, instructional best practices and connecting content to the real world by sharing industry insights and professional experiences
  • Managing regular communication with students to align on progress,expectations, celebrate milestones and address concern areas
  • Providing individualized student support during synchronous class sessions and outside class synchronously during office hours and asynchronously through timely communication
  • Evaluate student performance and progression toward competencies based on course deliverables and course rubrics, by:
  • Providing constructive and timely feedback to students in the cohort
  • Assisting in the management of Performance Action Plans for individual students who need additional support
  • Serve as role model for students and as an ambassador for our brand, by:
  • Exhibiting professionalism and an ethical and empathetic approach when engaging with Simplilearn staff, students, and the public
  • Promoting student retention and amplify student satisfaction by creating a positive classroom culture for the Learning Team, communicating timely with students and leveraging effective interventions and sharing of resources
  • Encouraging teamwork and seek feedback for continuous improvement

QUALIFICATIONS
You are a great candidate for this role if you have:
  • 5+ years of hands-on experience in Machine Learning (ML) and Deep Learning (DL), including developing and deploying models using Python, TensorFlow, PyTorch, or other ML frameworks
  • A deep understanding of machine learning algorithms and concepts, such as supervised and unsupervised learning, neural networks, support vector machines, decision trees, and reinforcement learning
  • Solid background in mathematical foundations of machine learning, including probability theory, linear algebra, optimization, and statistical analysis
  • Experience with the full ML lifecycle, from data pre-processing, feature engineering, and model selection, to model evaluation and deployment in real-world applications
  • Proficiency with the ML stack, including libraries like Pandas, NumPy, Scikit-learn, Keras, and working knowledge of big data tools such as Spark or Hadoop (optional but preferred)
  • Experience working with real-world data, including handling structured and unstructured datasets, data cleaning, and performing exploratory data analysis (EDA)
  • Previous teaching or mentoring experience, ideally in an online learning environment
  • A passion for teaching and the ability to simplify complex AI/ML topics to make them accessible to learners at various skill levels
  • Strong communication and presentation skills (verbal and written), with a focus on engaging and student-centric teaching methods
  • Professionalism, integrity, and empathy in all learner and team interactions.

Benefits
Compensation:
The expected compensation for this role is $50 - $55 per hour for candidates who fulfill the qualifications listed. Candidates with advanced qualifications or domain expertise are encouraged to apply as well. All final offers will be determined based on individual experience, skillset, and alignment with the program needs. Not all candidates will qualify for the top of the salary range.

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