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Remote Spatial Analysis Jobs in Virginia (NOW HIRING)

aqua IT

AI/ML Engineer (Computer Vision)

Herndon, VA · On-site +1

... spatial reasoning * Build scalable training infrastructure on AWS (SageMaker, EC2 GPU instances ... result analysis * Experience with both quantitative metrics and qualitative/human evaluation ...

Atreides

Mission (Data) Engineer

Arlington, VA · Remote

$131K - $158K/yr

... spatial data subscriptions that can be used across a wide spectrum of use cases. Currently ... We are a passionate team of technologists, data scientists, and analysts with backgrounds in ...

Amteck, LLC

BIM Technician - Electrical

Dulles, VA · On-site +1

This position is eligible to be fully remote or for work out of our Lexington, KY HQ or our ... Identifying and resolving spatial conflicts or clashes between different building components using ...

Amteck, LLC

BIM Technician - Electrical

Winchester, VA · On-site +1

This position is eligible to be fully remote or for work out of our Lexington, KY HQ or our ... Identifying and resolving spatial conflicts or clashes between different building components using ...

Amteck, LLC

BIM Technician - Electrical

Sterling, VA · On-site +1

This position is eligible to be fully remote or for work out of our Lexington, KY HQ or our ... Identifying and resolving spatial conflicts or clashes between different building components using ...

Amteck, LLC

BIM Technician - Electrical

Chantilly, VA · On-site +1

This position is eligible to be fully remote or for work out of our Lexington, KY HQ or our ... Identifying and resolving spatial conflicts or clashes between different building components using ...

Amteck, LLC

BIM Technician - Electrical

Leesburg, VA · On-site +1

This position is eligible to be fully remote or for work out of our Lexington, KY HQ or our ... Identifying and resolving spatial conflicts or clashes between different building components using ...

Amteck, LLC

BIM Technician - Electrical

Buckingham, VA · On-site +1

This position is eligible to be fully remote or for work out of our Lexington, KY HQ or our ... Identifying and resolving spatial conflicts or clashes between different building components using ...

Amteck, LLC

BIM Technician - Electrical

Manassas, VA · On-site +1

This position is eligible to be fully remote or for work out of our Lexington, KY HQ or our ... Identifying and resolving spatial conflicts or clashes between different building components using ...

Amteck, LLC

BIM Technician - Electrical

Ashburn, VA · On-site +1

This position is eligible to be fully remote or for work out of our Lexington, KY HQ or our ... Identifying and resolving spatial conflicts or clashes between different building components using ...

Amteck, LLC

BIM Technician - Electrical

Ivy, VA · On-site +1

This position is eligible to be fully remote or for work out of our Lexington, KY HQ or our ... Identifying and resolving spatial conflicts or clashes between different building components using ...

Amteck, LLC

BIM Technician - Electrical

Roanoke, VA · On-site +1

This position is eligible to be fully remote or for work out of our Lexington, KY HQ or our ... Identifying and resolving spatial conflicts or clashes between different building components using ...

Amteck, LLC

BIM Technician - Electrical

Chesapeake, VA · On-site +1

This position is eligible to be fully remote or for work out of our Lexington, KY HQ or our ... Identifying and resolving spatial conflicts or clashes between different building components using ...

Amteck, LLC

BIM Technician - Electrical

Broadway, VA · On-site +1

This position is eligible to be fully remote or for work out of our Lexington, KY HQ or our ... Identifying and resolving spatial conflicts or clashes between different building components using ...

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All JobsSpatial Analysis JobsRemote Spatial Analysis JobsRemote Spatial Analysis Jobs in Virginia

Remote Spatial Analysis information

What are the key skills and qualifications needed to thrive as a Remote Spatial Analyst, and why are they important?

To thrive as a Remote Spatial Analyst, you need a strong background in geography, GIS, remote sensing, and data analysis, often supported by a relevant degree. Proficiency with GIS software (like ArcGIS or QGIS), remote sensing platforms, and scripting languages such as Python or R is typically required. Analytical thinking, attention to detail, and effective communication are essential soft skills that set top performers apart. These competencies are critical for accurately interpreting spatial data, delivering actionable insights, and collaborating effectively with multidisciplinary teams.

What are some common challenges faced by professionals in remote spatial analysis roles, and how can they be addressed?

Remote spatial analysts often face challenges related to data accessibility, communication across distributed teams, and ensuring data security. Working with large geospatial datasets remotely can require advanced data management tools and reliable internet connections. Effective collaboration with colleagues in different locations is crucial, so leveraging cloud-based GIS platforms and regular virtual meetings can help maintain project momentum. Staying up to date with the latest remote sensing technologies and best practices also helps overcome technical obstacles and enhances productivity.

What is remote spatial analysis?

Remote spatial analysis refers to the process of examining and interpreting spatial data collected from a distance, often using technologies such as satellite imagery, aerial photography, and geographic information systems (GIS). Professionals in this field use specialized software to analyze patterns, changes, and relationships in the data to support decision-making in fields such as environmental science, urban planning, agriculture, and disaster management. Remote spatial analysis enables organizations to monitor large or inaccessible areas, identify trends, and make data-driven decisions without being physically present at the location of interest.

What is the difference between Remote Spatial Analysis vs Remote GIS Specialist?

AspectRemote Spatial AnalysisRemote GIS Specialist
CredentialsDegree in Geography, GIS, or related field; certifications like GISPSimilar credentials; often holds GIS certifications
Work EnvironmentData analysis, modeling, and interpretation primarily using GIS softwareData management, map creation, and spatial data handling
Industry UsageUsed across urban planning, environmental science, transportationCommon in government agencies, environmental firms, utilities
Search & Comparison IntentUnderstanding analysis techniques and data interpretationFocus on map creation and spatial data management

Remote Spatial Analysis involves analyzing spatial data to derive insights, often focusing on modeling and data interpretation. Remote GIS Specialist emphasizes managing spatial data, creating maps, and maintaining GIS databases. While both roles require similar credentials and work environments, their core tasks differ: analysis versus data management. Understanding these distinctions helps job seekers target the right roles in the GIS industry.

What cities in Virginia are hiring for Remote Spatial Analysis jobs? Cities in Virginia with the most Remote Spatial Analysis job openings:
Remote Spatial Analysis jobs near you

AI/ML Engineer (Computer Vision)

aqua IT

Herndon, VA • On-site, Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Responsibilities:

  • Design and execute fine-tuning pipelines for Vision-Language Models (VLMs) on domain-specific imagery datasets, including data preprocessing, training orchestration, and hyperparameter optimization
  • Develop and implement evaluation frameworks for multimodal model performance, including task-specific metrics for image understanding, visual question answering, and spatial reasoning
  • Build scalable training infrastructure on AWS (SageMaker, EC2 GPU instances) for distributed fine-tuning of large multimodal models
  • Engineer data pipelines for curating, annotating, and transforming geospatial imagery datasets into model-ready formats for supervised and instruction-tuning workflows
  • Collaborate with applied scientists and solutions architects to iterate on model architectures, adapter strategies (LoRA/QLoRA), and inference optimization techniques

Basic Requirements

  • TS/SCI with CI Poly required
  • 5+ years of professional machine learning engineering experience with a focus on deep learning
  • 1+ years of hands-on experience fine-tuning large foundation models (LLMs or VLMs)
  • Experience with parameter-efficient fine-tuning methods (LoRA, QLoRA, adapters)
  • Familiarity with supervised fine-tuning, instruction tuning, and RLHF/DPO alignment techniques
  • 4+ years of advanced Python development for ML workloads
  • Strong proficiency with PyTorch and the HuggingFace ecosystem (Transformers, PEFT, Datasets, Accelerate)
  • Experience with distributed training frameworks (DeepSpeed, FSDP, or Megatron)
  • 3+ years of experience with computer vision or multimodal models
  • Understanding of vision transformer architectures (ViT, CLIP, LLaVA-family models, or similar)
  • Experience processing and augmenting image datasets at scale
  • 3+ years of experience with AWS ML infrastructure
    SageMaker Training jobs, Processing jobs, and endpoint deployment
    GPU instance selection, multi-node training, and cost optimization on EC2 (P4/P5/G5/G6e), S3 data management for large-scale training datasets
  • 2+ years of experience building ML evaluation pipelines Automated benchmarking, metric computation, and result analysis
  • Experience with both quantitative metrics and qualitative/human evaluation approaches
  • Strong software engineering fundamentals (version control, testing, CI/CD for ML workflows)

Preferred Qualifications:

  • 2+ years of experience with geospatial or remote sensing imagery
  • Familiarity with electro-optical and SAR satellite imagery formats and characteristics
  • Understanding of geospatial metadata, coordinate systems, and imagery preprocessing
  • Experience with model quantization and inference optimization (vLLM, TensorRT, ONNX)
  • Experience with MLOps and experiment tracking tools (MLflow, Weights & Biases, SageMaker Experiments)
  • Familiarity with data annotation platforms and active learning workflows for imagery
  • Experience with containerized ML workflows (Docker, ECR, ECS/EKS)
  • 2+ years of experience with Authority to Operate (ATO) processes in government environments
  • Implementation of NIST 800-53 controls and security compliance for ML systems
  • Experience deploying models in air-gapped or disconnected environments
  • Familiarity with multimodal evaluation benchmarks (MMMU, MMBench, GQA, or domain-specific equivalents)
  • Publications or demonstrated contributions in computer vision, VLMs, or multimodal AI
  • Experience with synthetic data generation for training data augmentation