2

Freelance Work From Home Digital Signal Processing Jobs

Develop, test, and evaluate advanced signal processing algorithms and communication techniques ... site/work from home arrangement based on project needs. This role may require periodic CONUS and ...

Develop, test, and evaluate advanced signal processing algorithms and communication techniques ... work from home arrangement based on project needs. Questions related to flexible work should be ...

$121K - $231K/yr

... from the recorded data, and generation of reports and presentations to document findings * Work on ... Signal Processing * MATLAB * Algorithm Development * Ability to work well as part of a team

Freelance and Work from Home With FreeUp Hi! We're FreeUp! FreeUp is a freelance marketplace ... Digital Marketing freelancers * Lead Funnel Expert freelancers * SEO freelancers * PPC freelancers

Freelance and Work from Home With FreeUp Hi! We're FreeUp! FreeUp is a freelance marketplace ... Digital Marketing freelancers * Lead Funnel Expert freelancers * SEO freelancers * PPC freelancers

Freelance and Work from Home With FreeUp Hi! We're FreeUp! FreeUp is a freelance marketplace ... Digital Marketing freelancers * Lead Funnel Expert freelancers * SEO freelancers * PPC freelancers

Freelance and Work from Home With FreeUp Hi! We're FreeUp! FreeUp is a freelance marketplace ... Digital Marketing freelancers * Lead Funnel Expert freelancers * SEO freelancers * PPC freelancers

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Engage in research efforts ranging from proof-of-concept through integrated production Required ...

next page

Showing results 1-20

Freelance Work From Home Digital Signal Processing information

See salary details

$14

$47

$132

How much do freelance work from home digital signal processing jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for freelance work from home digital signal processing in the United States is $47.71, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $61.78 per hour, depending on experience, location, and employer.
What are the most commonly searched types of Work From Home Digital Signal Processing jobs? The most popular types of Work From Home Digital Signal Processing jobs are:
Digital Signal Processing (DSP) Engineer - AI/ML Ops / Remote

Digital Signal Processing (DSP) Engineer - AI/ML Ops / Remote

Apetan Consulting llc

Chicago, IL • Remote

$80 - $150/hr

Contractor

Posted 12 days ago


Job description

Digital Signal Processing (DSP) Engineer – AI/ML Ops
Location: Chicago, IL (Hybrid/Onsite Preferred)
 
Responsibilities
• Design and implement advanced DSP algorithms for real-time and offline signal processing.
• Develop AI/ML models for signal classification, anomaly detection, feature extraction, and predictive analytics.
• Build scalable data pipelines for signal acquisition, preprocessing, and model training.
• Deploy ML models into production using MLOps best practices.
• Optimize DSP and AI algorithms for latency, throughput, and computational efficiency.
• Collaborate with data scientists, embedded engineers, and software development teams.
• Implement CI/CD pipelines for machine learning workflows.
• Monitor production models for drift, performance, and reliability.
• Work with cloud-native AI services and containerized deployments.
• Document architecture, algorithms, and deployment processes.
 
Required Qualifications
• Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
• 5+ years of experience in Digital Signal Processing.
• Strong knowledge of: o Digital Filters o FFT o Wavelets o Spectral Analysis o Adaptive Filtering o Time-Series Signal Processing
• Proficiency in Python and C/C++.
• Experience with TensorFlow or PyTorch.
• Hands-on experience building ML pipelines.
• Experience with Docker and Kubernetes.
• Experience with Git and CI/CD. Preferred Qualifications
• Experience with MLflow, Kubeflow, SageMaker, Vertex AI, or Azure ML.
• Experience deploying AI models at the edge.
• Familiarity with NVIDIA CUDA or GPU optimization.
• Experience with audio, radar, RF, image, LiDAR, or sensor signal processing.
• Knowledge of LLMs and Agentic AI is a plus.
• Experience working in regulated industries (Healthcare, Automotive, Aerospace, Telecom, Industrial).