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Remote Mixing & Mastering Engineer Jobs (NOW HIRING)

AttoTude

MMIC Design Engineer

Menlo Park, CA · On-site +1

$160K - $250K/yr

In this role, you will be the technical lead in the design and development of cutting-edge mixed ... Master's Degree (MEng) in Electrical Engineering or related field is required * A Ph.D. in ...

Renesas Electronics

Senior Digital Engineer

Chandler, AZ · On-site +1

$133K/yr

Participate in all aspects of Mixed-signal design flow - Micro-architecture, Design partitioning ... Our people-first culture and global support system, including the remote work option and Employee ...

AttoTude

MMIC Design Engineer

Menlo Park, CA · Remote

In this role, you will be the technical lead in the design and development of cutting-edge mixed ... Master's Degree (MEng) in Electrical Engineering or related field is required * A Ph.D. in ...

Innodata Inc.

Audio Engineer

$120K - $160K/yr

Specify and validate recording setups for vendors and remote contributors (signal-chain testing in ... Strong audio engineering background: signal chain, recording, post-processing, mastering, and ...

IC Enable

RTL Design/AMS Verification Engineer

Richardson, TX · On-site +1

$122K - $149K/yr

Our expertise spans high-reliability mixed-signal and digital IC development, while our platform ... Remote considered based on experience and qualifications We are seeking an experienced RTL Design ...

Diverse Lynx LLC

UCM Engineer

Houston, TX · On-site +1

UCM Engineer Location: Remote Work Emp Type: Contract (C2C/W2) Interview: Phone/Skype § UCM ... mixed media and protocols. § Effectively create and utilize lab setups to duplicate and solve ...

WesTech Engineering

Project Engineer 2

Ames, IA · On-site +1

Mastering ability to break down tasks, plan, estimate and manage work to meet or beat project ... Dollar for dollar 401K match of 6%. * Flexible work hours, hybrid schedules with remote work ...

Hired Recruiters

Senior Software Engineer

San Francisco, CA · On-site +1

$144K - $190K/yr

... mixed in. * Experience building backend systems for web and/or mobile applications. * Pluses ... Located and able to work in SF Bay Area (with remote opportunities) Job Responsibilities Overall:

TalentRemedy

Principal Electrical Systems Engineer

Herndon, VA · On-site +1

$142K - $174K/yr

... remote sensing technologies for demanding spaceflight applications. This position is ideal for an ... Experience with power distribution, control electronics, instrumentation, mixed-signal systems, and ...

VDURA

Systems Engineer, Platform

Pittsburgh, PA · On-site +1

However, we are open to remote candidates who meet the qualifications and can work effectively from ... If you're passionate about mastering complex challenges, driving innovation, and making a tangible ...

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Remote Mixing Mastering Engineer information

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How much do remote mixing & mastering engineer jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for remote mixing & mastering engineer in the United States is $47.61, according to ZipRecruiter salary data. Most workers in this role earn between $39.18 and $57.69 per hour, depending on experience, location, and employer.

What are the common challenges faced by Remote Mixing & Mastering Engineers, and how can they be addressed?

Remote Mixing & Mastering Engineers often face challenges such as communication gaps with clients, managing differences in monitoring environments, and ensuring reliable file transfers. To address these, clear and frequent communication about expectations and references is essential, as well as using standardized file formats and secure transfer platforms. Additionally, investing in high-quality headphones or speakers and regularly calibrating your listening environment can help ensure mixes translate well across different playback systems. Collaborating with clients through virtual meetings and real-time feedback tools can also streamline the workflow and reduce misunderstandings.

What is the difference between Remote Mixing & Mastering Engineer vs Remote Audio Editor?

AspectRemote Mixing & Mastering EngineerRemote Audio Editor
CredentialsAudio engineering certifications, music production experienceAudio editing courses, DAW proficiency
Work EnvironmentHome studio, remote collaborationHome studio, remote editing projects
Industry UsageMusic, film, broadcastPost-production, podcasts, film editing
Search & Comparison IntentSeeking professional audio quality, mastering servicesEditing audio clips, cleaning up recordings

Remote Mixing & Mastering Engineers focus on finalizing audio tracks for optimal sound quality, often working on entire songs or projects. Remote Audio Editors primarily handle editing tasks like noise reduction, timing adjustments, and preparing audio for mixing or publishing. While both roles require audio proficiency and remote work setup, their core responsibilities and end goals differ significantly.

What are the key skills and qualifications needed to thrive as a Remote Mixing & Mastering Engineer, and why are they important?

To excel as a Remote Mixing & Mastering Engineer, you need a thorough understanding of audio engineering principles, acoustics, and music theory, often backed by formal education or extensive experience in sound production. Mastery of digital audio workstations (DAWs) such as Pro Tools, Logic Pro, or Ableton Live, as well as proficiency with plugins and audio processing tools, is essential. Strong communication skills, attention to detail, and the ability to interpret clients' creative visions help you stand out in remote collaborations. These abilities ensure that high-quality, client-focused audio productions are delivered efficiently and professionally in a remote work environment.

What does a Remote Mixing & Mastering Engineer do?

A Remote Mixing & Mastering Engineer is a professional who enhances and finalizes audio tracks for artists, producers, or clients from a distance, typically working online. They use specialized software and equipment to balance, process, and polish individual tracks (mixing) and then optimize the final stereo track for distribution (mastering). By working remotely, they collaborate with clients worldwide, exchanging files and feedback digitally. Their goal is to ensure the music sounds professional across all playback systems and meets industry standards.
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Remote Mixing Mastering Engineer jobs near you
Infographic showing various Remote Mixing & Mastering Engineer job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $99,026 per year, or $47.6 per hour.

SENIOR COMPUTER VISION ENGINEER - REMOTE SENSING VACANCY - Satlantis

SATLANTIS

Gainesville, FL • On-site, Remote

$94K - $130K/yr

Full-time

Re-posted 29 days ago

Job description

Satlantis is a leading-edge company specializing in high-performance satellite technology and data processing. We are at the forefront of innovation, developing advanced solutions for Earth observation and space exploration. Join our dynamic team in Gainesville, Florida, and contribute to groundbreaking projects that shape the future of satellite technology. For more information about the company, please visit www.satlantis.com .
Position Summary
We are seeking a highly motivated and experienced Senior Computer Vision Engineer with strong technical leadership to drive Satlantis US's computer vision and imagery understanding initiatives. The ideal candidate combines deep expertise in modern vision systems with pragmatic delivery: you will design, develop, evaluate, and deploy computer vision models and pipelines that operate on large-scale satellite imagery and geospatial data products.
This is a hands-on role where you will own vision workstreams end-to-end-from problem definition and dataset strategy to model development, production deployment, performance optimization, and iteration-while setting engineering standards, mentoring teammates, and partnering closely with engineering, product, and mission teams. You will help ensure our computer vision systems are accurate, robust, scalable, and operationally effective in real-world Earth-observation workflows.
What you'll do:
  • Own your developments. Lead high-impact computer vision initiatives such as segmentation, object detection, classification, image matching, semantic retrieval, change detection, tracking, and anomaly detection over satellite imagery and derived geospatial products, delivering measurable improvements in model quality and operational outcomes.
  • Translate problems into vision systems. Convert customer needs, mission requirements, and research goals into well-scoped computer vision problems, define success metrics and KPIs (e.g. precision/recall, mAP, IoU, F1, latency, throughput, memory footprint), and establish acceptance criteria and validation plans.
  • Design datasets that win. Drive dataset strategy for vision applications, including annotation protocols, tiling and sampling strategies, class balance, hard-negative mining, augmentation policies, domain-shift analysis, and label-quality audits. Establish repeatable dataset versioning and documentation practices.
  • Build robust training and evaluation pipelines. Implement reproducible experimentation, benchmarking, ablation studies, and error-analysis workflows for computer vision models, including geospatially aware evaluation where applicable.
  • Advance model architectures. Develop and improve state-of-the-art computer vision approaches, including CNNs, transformers, encoder-decoder architectures, self-supervised learning, multi-modal fusion, and foundation-model adaptation for remote sensing imagery. Optimize solutions for real operational constraints such as image resolution, viewing conditions, atmospheric noise, and multi-temporal data.
  • Operationalize vision models. Partner with software and platform engineers to productionize vision systems, including model packaging, inference optimization, deployment pipelines, monitoring, drift detection, versioning, rollback strategies, and performance tuning across heterogeneous compute environments.
  • Raise the engineering bar. Set standards for code quality, reproducibility, model validation, benchmarking, documentation, and peer review. Write clear technical design documents and decision memos that align stakeholders and accelerate execution.

Skills and experience (required):
  • Bachelor's, Master's, or PhD in Computer Science, Computer Engineering, Electrical Engineering, Remote Sensing, Robotics, or a related field.
  • 3+ years of professional experience in computer vision, machine learning, or applied AI, including delivering vision models into production or operational workflows.
  • Strong proficiency in Python for machine learning and computer vision workflows; ability to write clean, maintainable, and well-tested code.
  • Deep knowledge of computer vision fundamentals, including image representations, feature extraction, geometric reasoning, dense prediction, detection, segmentation, and model evaluation.
  • Hands-on experience with deep learning frameworks such as PyTorch (preferred) or TensorFlow, and practical experience implementing modern vision architectures.
  • Strong understanding of training and inference optimization, including data loading efficiency, batching, mixed precision, model compression, and performance-aware experimentation.
  • Experience working with large-scale imagery or visual datasets and building pipelines that are reliable and reproducible.
  • Strong communication skills, with the ability to explain complex technical trade-offs clearly to cross-functional stakeholders.

Nice to have (preferred)
  • Geospatial / satellite domain experience: GDAL, Rasterio, projections/CRS, tiling strategies, GeoTIFF/COG/NetCDF, STAC/PgSTAC, and geospatial image-quality considerations.
  • Remote-sensing computer vision: experience with multi-spectral or panchromatic imagery, super-resolution, image fusion, orthorectification-aware workflows, and change detection in Earth-observation contexts.
  • Spatiotemporal vision modeling: time-series imagery, temporal fusion, motion/change analysis, event detection, or tracking across repeated satellite captures.
  • MLOps / production AI: model serving, monitoring, experiment tracking (e.g. W&B, MLflow, CometML), orchestration (Airflow, Argo, ZenML), and lifecycle management.
  • Cloud & compute: experience training and running inference on AWS/GCP/Azure and on-prem HPC/cluster environments, including SLURM-managed GPU/CPU fleets and Kubernetes-based infrastructure; strong understanding of containers, distributed training, GPU scheduling, storage/performance bottlenecks, and cost/performance tuning.
  • Foundation models for vision / Earth observation: fine-tuning, embedding extraction, retrieval systems, transfer learning, promptable models, and multimodal representation learning.
  • C++ or performance-oriented deployment experience: OpenCV, ONNX, TensorRT, Triton Inference Server, CUDA optimization, or edge/real-time inference workflows.
  • Familiarity with data governance and quality frameworks, including lineage, validation checks, and dataset documentation.

Work Authorization:
This role will not sponsor any employment visas. Candidates must have and maintain unrestricted legal authorization to work in the U.S. now and in the future, without requiring employer-sponsored visa support.
Location & Work Model:
Full-time, in-person position in Gainesville, Florida. You'll work closely with engineering and business teams on impactful, real-world satellite analytics and AI systems-helping deliver reliable, scalable capabilities that push forward the state of the art in Earth observation.
Why Join Satlantis?
  • Be part of a pioneering company at the forefront of space technology.
  • Work on challenging and impactful projects that have real-world applications.
  • Collaborate with a team of brilliant and passionate engineers and scientists.
  • Competitive salary and benefits package.
  • Opportunity for professional growth and development in a rapidly expanding industry.
  • Enjoy the vibrant community and quality of life in Gainesville, Florida. Learn more at https://www.visitgainesville.com/ .

Apply