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Remote Church Audio Engineer Jobs in Virginia (NOW HIRING)

Markon

Expert Software Systems Developer

Herndon, VA · On-site +1

$180K - $210K/yr

Ability to interface web application with remote relational database infrastructure Salary RangeUSD ... Headquartered in Falls Church, Virginia, Markon has garnered national recognition for our ...

Markon

Expert Software Systems Developer

Herndon, VA · On-site +1

$180K - $210K/yr

Ability to interface web application with remote relational database infrastructure USD $180,000.00 ... Headquartered in Falls Church, Virginia, Markon has garnered national recognition for our ...

Sony

$50/hr

... audio signal processing. * Strong analytical and programming skills in deep learning using ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

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All JobsChurch Audio Engineer JobsRemote Church Audio Engineer JobsRemote Church Audio Engineer Jobs in Virginia

Remote Church Audio Engineer information

What is the difference between Remote Church Audio Engineer vs Church Audio Technician?

AspectRemote Church Audio EngineerChurch Audio Technician
CredentialsAudio engineering certifications, technical skillsBasic audio setup knowledge, on-site experience
Work EnvironmentRemote, digital audio systems, live streamingOn-site church audio systems, live events
Employer & IndustryReligious organizations, churches with online servicesLocal churches, live event venues
Search & Comparison IntentRemote audio roles, online church audio jobsOn-site church audio roles, live sound jobs

The Remote Church Audio Engineer primarily manages audio for online services and live streaming remotely, requiring technical and digital audio skills. In contrast, a Church Audio Technician typically works on-site, handling live sound during church services. Both roles involve audio setup and operation but differ mainly in work environment and technical focus.

What are the most commonly searched types of Church Audio Engineer jobs in Virginia?

The most popular types of Church Audio Engineer jobs in Virginia are:

What are popular job titles related to Remote Church Audio Engineer jobs in Virginia?

For Remote Church Audio Engineer jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Remote Church Audio Engineer jobs in Virginia look for?

The top searched job categories for Remote Church Audio Engineer jobs in Virginia are:

What cities in Virginia are hiring for Remote Church Audio Engineer jobs?

Cities in Virginia with the most Remote Church Audio Engineer job openings:

Remote Church Audio Engineer jobs near you
Infographic showing various Remote Church Audio Engineer job openings in Virginia as of August 2026, with employment types broken down into 50% Full Time, and 50% Temporary. Highlights an 100% Remote job distribution.

SAR Data/Imagery Scientist (TS/SCI Clearance required)

NorthHill Technology

Falls Church, VA • On-site, Remote

Full-time

Re-posted 20 days ago

Key responsibilities

  • Support the evaluation of emerging sensor capabilities and compare new collection platforms with existing systems.

  • Assess the impact of new sensor data on data architectures, including metadata, file formats, schemas, APIs, and ETL processes.

  • Develop preprocessing and standardization workflows to prepare imagery for labeling, analytics, and AI/ML model testing.

Job description

NorthHill Technology Resources has a need for a SAR Data Scientist/Imagery Scientist to join a Federal Program in Falls Church, VA.  This is a direct-hire opportunity with our client, a highly respected Federal Integrator.  A current TS/SCI Clearance is required. 

We are seeking an experienced SAR Data Scientist/Imagery Scientist to join a high-performing team supporting advanced AI and machine learning initiatives for complex national security and intelligence missions.

This program focuses on evaluating AI models against Government datasets to assess their performance, resilience, and robustness across a broad spectrum of adversarial scenarios. The effort also includes testing and validating autonomous algorithms designed to support operational decision-making in dynamic mission environments.

As a SAR Exploitation/Imagery Scientist, you will provide subject matter expertise in Synthetic Aperture Radar (SAR) imagery, geospatial analysis, and quantitative assessment to support data curation, imagery exploitation, and dataset development for machine learning model testing and evaluation. You will collaborate with engineers, data scientists, and mission analysts to ensure imagery products are prepared, standardized, and optimized for AI/ML applications.

Required Qualifications

  • Active TS/SCI clearance with eligibility for CI Polygraph (we can sponsor your CI poly if you don't already have one)
  • 4+ years of experience working with Synthetic Aperture Radar (SAR) imagery, including collection methodologies, radar phenomenology, image formation, and exploitation products.
  • Experience evaluating SAR imagery quality metrics and interpreting sensor metadata, including the effects of collection geometry (e.g., graze angle, squint angle, azimuth) on SAR phenomenology.
  • Demonstrated experience exploiting SAR imagery to detect, identify, and geolocate objects of interest.
  • Strong understanding of remote sensing principles, imagery processing, and advanced SAR exploitation techniques.
  • Excellent communication skills with the ability to effectively present SAR methodologies, imagery products, and analytical findings to both technical and non-technical audiences.
Preferred Qualifications
  • Experience applying computer vision (CV), machine learning (ML), or deep learning techniques to SAR imagery and geospatial data to support intelligence, defense, or remote sensing applications.
Key Responsibilities
  • Support the Lead SAR Scientist in evaluating emerging sensor capabilities and comparing new collection platforms with existing operational systems.
  • Assess the impact of new sensor data on existing data architectures, including metadata, file formats, schemas, APIs, and ETL processes required to ingest and integrate data into operational pipelines.
  • Evaluate data acquisition strategies, expected collection latency, available data formats, and applicable security domains for new sensor sources.
  • Develop preprocessing and standardization workflows to prepare imagery for labeling, analytics, and AI/ML model testing. This may include file format conversion, image tiling, geospatial normalization, and other data preparation activities to ensure compatibility with established data standards.