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Remote Audio Signal Processing Jobs in Indiana (NOW HIRING)

Authenticx

Data Scientist

Indianapolis, IN · Remote

Strong knowledge of Natural Language Processing (NLP) or Audio Signal Processing * Proficiency with ... This is a remote/virtual position. * You must live in the United States of America. * You must be ...

Toptal

$99.80K - $136.70K/yr

This is a remote position. We do not offer visa sponsorship or assistance. Resumes and ... Experience with data labeling, media processing (video/audio), or PDF manipulation. Engagement ...

Guitar Center Company

Lesson Advisor

Brownsburg, IN · On-site +1

Hybrid, Remote, or On-Site Employment Type: Full-Time Pay: Competitive hourly rate Pay Differential ... Stay up to date on processes, systems, tools, and Guitar Center brand standards * Accurately ...

Motorola

$140K - $150K/yr

Department Overview Blue Eye is a high-growth leader in the remote video monitoring industry. We ... Practical knowledge of UL 827 standards and the audit process for monitoring facilities. Testing ...

Cleo

Customer Success Manager

Indianapolis, IN · Remote

Customer Success Manager Remote - US What You Will Be Doing * Manage a portfolio of 30+ accounts ... Uphold Cleo's CS strategy and processes, ensuring 100% of interactions are accurately recorded in ...

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Remote Audio Signal Processing information

What are the key skills and qualifications needed to thrive as a Remote Audio Signal Processing Engineer, and why are they important?

To excel as a Remote Audio Signal Processing Engineer, you need strong knowledge of digital signal processing (DSP), audio algorithms, and programming skills, typically supported by a degree in electrical engineering, computer science, or a related field. Expertise in tools like MATLAB, Python, C++, and familiarity with platforms such as JUCE or VST, as well as experience with audio editing and analysis software, is highly valuable. Excellent problem-solving, communication, and self-motivation are essential soft skills for managing tasks independently and collaborating with distributed teams. These skills and qualifications are critical for developing high-quality audio solutions and ensuring effective project delivery in a remote work environment.

What are some common challenges faced by professionals in remote audio signal processing roles, and how can they be addressed?

Professionals in remote audio signal processing often encounter challenges such as latency issues, inconsistent audio quality due to varying internet connections, and difficulties in real-time collaboration with team members or clients. To address these, it’s important to use reliable communication platforms, leverage cloud-based audio tools that support version control, and establish clear file-sharing protocols. Regular virtual meetings and clear documentation can also help ensure smooth collaboration and consistent project outcomes.

What is remote audio signal processing?

Remote audio signal processing refers to the analysis, modification, and enhancement of audio signals using digital algorithms, typically performed from a location different from where the audio was recorded or is being used. Professionals in this field work with technologies such as noise reduction, echo cancellation, audio compression, and effects processing, often leveraging cloud-based tools and platforms. This allows for real-time audio improvements or transformations in applications like teleconferencing, streaming, and music production, all managed remotely.

What is the difference between Remote Audio Signal Processing vs Remote Audio Engineering?

AspectRemote Audio Signal ProcessingRemote Audio Engineering
CredentialsKnowledge of audio algorithms, signal processing certificationsAudio engineering certifications, experience with recording/mixing
Work EnvironmentPrimarily software-based, focused on digital signal manipulationStudio or live sound environments, often involving hardware setup
Industry UsageTech companies, software development, audio tech startupsMusic production, broadcasting, live events
Search & Comparison IntentFocus on technical signal processing skillsFocus on audio production and engineering expertise

Remote Audio Signal Processing involves developing and applying algorithms to manipulate audio signals digitally, often requiring programming and technical skills. Remote Audio Engineering focuses on capturing, mixing, and producing audio content, emphasizing hands-on technical and creative skills. While both roles work remotely and in the audio industry, their core responsibilities and skill sets differ significantly.

What are the most commonly searched types of Audio Signal Processing jobs in Indiana? The most popular types of Audio Signal Processing jobs in Indiana are:
What are popular job titles related to Remote Audio Signal Processing jobs in Indiana? For Remote Audio Signal Processing jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Remote Audio Signal Processing jobs in Indiana look for? The top searched job categories for Remote Audio Signal Processing jobs in Indiana are:
What cities in Indiana are hiring for Remote Audio Signal Processing jobs? Cities in Indiana with the most Remote Audio Signal Processing job openings:
Remote Audio Signal Processing jobs near you
Infographic showing various Remote Audio Signal Processing job openings in Indiana as of May 2026, with employment types broken down into 33% Internship, and 67% Full Time. Highlights an 100% Remote job distribution.

Data Scientist

Authenticx

Indianapolis, IN • Remote

Other

Posted 20 days ago

Job description

Position Summary

Our ideal candidate will spend most of the time developing machine learning models using natural language process that will be integrated into our automated processes. This role is ideal for an engineer eager to grow and contribute to scalable, reliable services in a mission-driven environment. You will work alongside experienced engineers who deliver production grade models into our SaaS platform in a highly regulated environment. Your responsibility will be to build and train models, deploy model pipelines, and implement a variety of algorithms to extract insights from unstructured data. If needed, you will also troubleshoot and provide technical solutions to resolve issues. Ideally, we would love someone with experience in a startup or small company, but if not, willingness to wear a lot of hats and a self-starter is great too. 

As a Data Scientist at  Authenticx, your responsibilities will include: 

  • Utilizing Python, SQL, and NLP/machine learning technologies to perform conversational analytics.
  • Analyzing structured and unstructured data and building predictive models using a variety of approaches.
  • Searching through large data sets and transforming data for analysis 
  • Creating reports and presentations to translate complex analytical results and modeling efforts into business impacts and insights for executive leaders.
  • Document and maintain codebase standards, contributing to ongoing quality and reliability improvements.

Key Metrics

  • Delivery of assigned feature work on time and within quality standards.
  • Consistent adherence to code review and documentation standards.
  • Resolution of assigned defects and production issues within established SLAs.
  • Contribution to overall system reliability, uptime, and performance goals.
  • Demonstrated growth in technical proficiency and cross-team collaboration.

Qualifications

The ideal Data Scientists possesses the following skills & qualifications: 

Basic Qualifications: 

  • S. or further education in Mathematics, Economics, Computer Science, Statistics, or another quantitative field 
  • 2+ years of experience as a Data Scientist, Machine Learning Engineer, or relevant software engineering in AI. 
  • Strong knowledge of Natural Language Processing (NLP) or Audio Signal Processing 
  • Proficiency with Python (Pandas, NumPy, Matplotlib, Scikit-Learn, Spacy, SciPy, etc...)
  • Experience with a deep learning framework (TensorFlow, Pytorch, etc..) and deep learning architectures (RNNs, CNNs, Transformers, etc...)
  • Experience with fine-tuning transformers and relevant libraries (Transformers, Unsloth, vLLM, TRL)
  • Deep understanding of statistical analysis, hypothesis testing, modern modeling techniques and mathematics skills (e.g., Linear Algebra, Calculus)  
  • Experience with SQL, databases, and other data management tools
  • Ability to work independently and with team members from different backgrounds 
  • Effective communication and technical writing skills to translate complex analytical results and modeling efforts into business impacts and insights for executive leaders.
  • Internal Motivation and Intellectual Curiosity to uncover the answers to unknowns

Preferred Qualifications: 

  • Software-as-a-service (SaaS) and/or healthcare industry experience
  • Familiarity with Cloud Technologies, Docker, and Kubernetes.
  • Experience with tools for experiment tracking and model management.
  • Experience with the full life cycle of model development. From data acquisition to training and deploying the model in a production environment.  
  • Experience with Agentic models and workflows is a plus.

Work Environment

  • This is a remote/virtual position.
  • You must live in the United States of America. 
  • You must be authorized to work in the USA, now and in the future, WITHOUT requirement of sponsorship/visa.
  • Occasional travel to Indianapolis may be required (approximately 2-4 times per year) based on business needs.

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