... remote sensing imagery including geometry, radiometric normalization, augmentation, and sensor ... At least 2 years of experience designing, building, and operating AI/ML systems in secure, on-prem ...
... remote sensing imagery including geometry, radiometric normalization, augmentation, and sensor ... At least 2 years of experience designing, building, and operating AI/ML systems in secure, on-prem ...
Staff Engineer, AI
Herndon, VA · On-site +1
... remote sensing imagery including geometry, radiometric normalization, augmentation, and sensor ... At least 2 years of experience designing, building, and operating AI/ML systems in secure, on-prem ...
Staff Engineer, AI
Herndon, VA · On-site +1
... remote sensing imagery including geometry, radiometric normalization, augmentation, and sensor ... At least 2 years of experience designing, building, and operating AI/ML systems in secure, on-prem ...
Data Analyst
Arlington, VA · On-site +1
Data Analysts will serve primarily as the operators of the PANDA platform's Data Cleaning, Analyzer ... Experience with sensor-based failure predictions and modeling Executive Order Requirement: In ...
Data Analyst
Arlington, VA · On-site +1
Data Analysts will serve primarily as the operators of the PANDA platform's Data Cleaning, Analyzer ... Experience with sensor-based failure predictions and modeling Executive Order Requirement: In ...
Electronic Integrated Systems Mechanic (Title 32) (Permanent)
Sandston, VA · On-site +1
$34.59 - $40.60/hr
... of sensor subsystems: Integrated Vehicle Health Management System (IVHMS), the Common Missile ... Solves problems by analyzing installation, circuitry, and operating characteristics of the systems.
Electronic Integrated Systems Mechanic (Title 32) (Permanent)
Sandston, VA · On-site +1
$34.59 - $40.60/hr
... of sensor subsystems: Integrated Vehicle Health Management System (IVHMS), the Common Missile ... Solves problems by analyzing installation, circuitry, and operating characteristics of the systems.
Vice President, Business Development - Defense Engineering Solutions (DES)
Chantilly, VA · On-site +1
Remote locations near major Parsons hubs or key customer locations may be considered ... Establish performance transparency through rigorous forecasting, pipeline analytics, and operating ...
Vice President, Business Development - Defense Engineering Solutions (DES)
Chantilly, VA · On-site +1
Remote locations near major Parsons hubs or key customer locations may be considered ... Establish performance transparency through rigorous forecasting, pipeline analytics, and operating ...
Remote Sensor Operator information
What are the key skills and qualifications needed to thrive as a Remote Sensor Operator, and why are they important?
To thrive as a Remote Sensor Operator, you need strong attention to detail, spatial awareness, and a solid understanding of data analysis, often supported by military training or relevant technical certifications. Familiarity with sensor platforms, imagery analysis software, and secure communication systems is typically required. Excellent situational awareness, decision-making skills, and the ability to work under pressure are vital soft skills in this role. These competencies ensure accurate data collection and timely information relay, which are critical for mission effectiveness and safety.
What are some common challenges faced by Remote Sensor Operators, and how can they be effectively addressed?
Remote Sensor Operators often encounter challenges such as managing large volumes of data, interpreting sensor outputs accurately, and maintaining effective communication with field teams. Staying organized and using reliable data management tools can help handle data efficiently. Regular training on sensor technology and protocols ensures accuracy in data interpretation. Additionally, establishing clear communication channels with other team members, such as analysts and engineers, helps resolve issues quickly and ensures mission objectives are met.
What are Remote Sensor Operators?
Remote Sensor Operators are professionals who operate and monitor remote sensing equipment, such as cameras, radar, or other sensors, to collect data from a distance. They often work with airborne, satellite, or ground-based systems to gather information used in fields like defense, environmental monitoring, and resource management. Their responsibilities include controlling the sensors, processing and analyzing the data, and ensuring the accuracy of the information collected. This role requires technical skills, attention to detail, and the ability to interpret complex data. Remote Sensor Operators may work in a variety of industries, including military, agriculture, and scientific research.
What is the difference between Remote Sensor Operator vs Remote Drone Pilot?
| Aspect | Remote Sensor Operator | Remote Drone Pilot |
|---|---|---|
| Credentials | FAA Part 107 certification, technical training | FAA Part 107 certification, drone operation training |
| Work Environment | Monitoring sensors remotely, data analysis | Flying drones remotely, aerial data collection |
| Industry Usage | Environmental monitoring, security, infrastructure | Aerial photography, surveying, inspection |
Both roles require FAA Part 107 certification and involve remote operation. The Remote Sensor Operator focuses on monitoring and analyzing sensor data, while the Remote Drone Pilot operates drones for aerial tasks. They share similar credentials and work environments but differ in their specific tasks and industry applications.
What are popular job titles related to Remote Sensor Operator jobs in Virginia? For Remote Sensor Operator jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Sensor Operator jobs in Virginia look for? The top searched job categories for Remote Sensor Operator jobs in Virginia are:
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Other
Posted 13 days ago
Job description
BlackSky is seeking a Staff AI Engineer to lead the architecture, development, and delivery of mission-critical AI solutions within customer environments. This is a hands-on role and an opportunity to develop and shape an exciting new growth area. The ideal candidate for this role blends deep technical ownership (roadmap, R&D, AI/ML systems) with customer-facing solution delivery (scoping, prototype-to-production, and executive communication).
This senior individual contributor role will partner with CV, MLOps, Data QA, Solutions, and BD teams to ensure BlackSky delivers reliable and actionable insights. The role will be full-time based out of Herndon, VA working in our SCIF with occasional customer site commitments and will report to the Senior Manager of AI. Responsibilities: Partner with CV and MLOps to design and extend components needed to ensure models are trained, versioned, deployed, monitored, and maintained reliably in customer environments.
Collaborate with the Data QA team to define annotation standards, resolve taxonomy issues, and identify data-quality improvements based on model failure modes. Independently prototype, evaluate, and deploy AI capabilities in a secure development environment. Communicate technical strategy, progress, risks, and opportunities clearly to leadership, cross-functional partners, and other stakeholders.
Contribute to proposals, white papers, and long-term strategy, shaping future mission-aligned geospatial AI investments. Own and architect the mission-aligned roadmap for geospatial CV and applied AI, partnering with customers to translate mission requirements into technical designs and implementing core components. Other job-related duties as assigned.
Required Qualifications: Minimum of 10 years of hands-on software engineering experience, including at least 4+ years developing and deploying applied AI/ML systems and pipelines. Bachelor’s degree in CS/EE/math/statistics or a related quantitative field. Strong proficiency in Python and modern ML/CV libraries such as PyTorch or TensorFlow.
Experience researching, building, and evaluating production-ready CV models for detection, segmentation, change detection, or related tasks. Experience working with remote sensing imagery including geometry, radiometric normalization, augmentation, and sensor-specific challenges. Hands-on experience with geospatial tools such as GDAL, Rasterio, GeoPandas, Shapely, xarray, or Zarr.
Experience with modern ML infrastructure, including cloud services (e.g., AWS), containerization and orchestration platforms (e.g., Kubernetes), and the ability to adapt these systems to customer-specific or offline environments such as secure enclaves, on-prem systems, or air-gapped deployments. Strong ability to communicate complex technical concepts to diverse audiences including leadership and technical teams. Must have an active US Top Secret clearance with an SCI.
Preferred Qualifications: M.S. or Ph.D. in CS/EE/math/statistics or a related quantitative field.
At least 2 years of experience designing, building, and operating AI/ML systems in secure, on-prem and/or air-gapped systems. Experience working in DoD, IC, or Fed/Civ environments. Experience designing and executing large-scale CV experiments, including dataset construction, synthetic/augmented data generation, and evaluation protocols tailored to mission needs.
Familiarity with remote sensing data sources including BlackSky, Airbus, Planet, and Vantor. Demonstrated experience designing CV/ML systems and pipelines that meet or exceed benchmarks and are optimized for production constraints such as latency and efficiency. Exposure to foundation models, VLMs, and other multimodal approaches for geospatial imagery.