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Remote Spatial Reasoning Jobs (NOW HIRING)

Vantor

Applied AI Scientist

$128K - $170K/yr

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators ... Productionize reasoning models, vision-language models (VLMs), and multimodal AI systems that ...

Maxar

Applied AI Scientist

$128K - $170K/yr

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators ... Productionize reasoning models, vision-language models (VLMs), and multimodal AI systems that ...

Duranta

Computer Vision Engineer

Seattle, WA · On-site +1

$160K - $275K/yr

... Spatial Intelligence. Duranta's founding team have built unicorns, had successful exits and ... Experience with high-res aerial/remote sensing imagery and LiDAR * Experience with self-supervised ...

County of Chester, PA

Graphic Designer

West Chester, PA · On-site +1

$41K/yr

... Remote Employment: Flexible/Hybrid Job Number: 04725 Department: Public Information Division ... Sound reasoning and judgement skills - Honesty, Integrity and Professional Ethics Also required:

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Remote Spatial Reasoning information

What is a remote spatial reasoning job?

A remote spatial reasoning job involves tasks that require the ability to visualize and manipulate objects or data in space, often from a remote or work-from-home setting. These jobs can be found in fields like architecture, engineering, data analysis, or game design, where understanding spatial relationships is crucial. Remote workers use specialized software and tools to solve problems, design layouts, or analyze spatial data without being physically present at a worksite. Strong spatial reasoning skills help professionals interpret maps, create 3D models, or optimize workflows. These roles typically require a combination of technical expertise and the ability to work independently.

What are some common challenges faced when working remotely in a spatial reasoning role, and how can they be addressed?

Working remotely in a spatial reasoning role often involves collaborating on complex, visual tasks such as 3D modeling, design, or data interpretation. Common challenges include limited access to high-performance computing resources, potential miscommunication due to lack of in-person interaction, and difficulties in sharing large visual files or models. To address these challenges, teams often use cloud-based collaboration platforms, schedule regular video meetings to clarify concepts, and establish clear file-sharing protocols. Leveraging specialized software that supports remote teamwork can also help maintain productivity and ensure everyone stays aligned.

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 expertise in spatial analysis, geographic information systems (GIS), and a solid foundation in geography, cartography, or a related field, often supported by relevant degrees or certifications. Proficiency with GIS software (such as ArcGIS or QGIS), remote sensing tools, and data visualization platforms is typically required. Strong analytical thinking, attention to detail, and effective communication skills help interpret spatial data and convey findings to diverse stakeholders. These competencies are essential for producing accurate spatial insights that inform decision-making in fields like urban planning, environmental management, and logistics.

What careers use spatial reasoning?

Careers that use spatial reasoning include architecture, engineering, surveying, urban planning, and computer-aided design (CAD). These roles require visualizing objects in three dimensions, understanding spatial relationships, and often involve working with specialized software or tools. Strong spatial skills are essential for problem-solving and designing in many technical and creative fields.
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Remote Spatial Reasoning jobs near you
Infographic showing various Remote Spatial Reasoning job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 66% Full Time, 30% Part Time, 2% Contract, and 1% Nights. Highlights an 75% Physical, 1% Hybrid, and 24% Remote job distribution.

Senior Machine Learning Engineer

Clearview AI, Inc.

Washington, DC • Remote

$107K - $146K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 25 days ago

Job description


Clearview AI is the leading provider of facial recognition technologies to US law enforcement, state, and federal agencies. Our mission is to help our users solve crimes and prevent financial fraud with the responsible use of our facial recognition software. Our company is a high-octane, fast growing startup looking to hire enthusiastic and intelligent team members to join our team. To learn more about us, and our revolutionary facial recognition technology, please visit www.clearview.ai.

Senior Machine Learning Engineer


Position Summary: We are hiring a highly technical individual contributor to push the limits of our computer vision and machine learning capabilities. This is a high-impact, hands-on role for a research-minded engineer who wants to build and ship models, not manage a team. Much of the work involves large-scale visual understanding, extracting structured signals from imagery and reasoning about the real-world context behind a photograph, but we care more about deep ML/CV ability than any one problem area and welcome strong generalists.

Responsibilities:
  • Build, train, evaluate, and deploy computer vision and multimodal models, taking them from early prototype through to production
  • Design systems that infer structured attributes and spatial context from imagery, combining learned models with geometric and heuristic reasoning
  • Train and fine-tune models on large, diverse real-world image datasets, and build the pipelines to curate and label that data at scale
  • Work with vision-language models (VLMs) and build rigorous evaluation frameworks to measure their accuracy on our tasks
  • Develop and benchmark high-performance image retrieval capabilities with embedding models and vector indexing strategies
  • Optimize models for inference latency and throughput using techniques like distillation, quantization, and GPU acceleration
  • Read current research, prototype novel algorithms from academic literature, and turn promising ideas into reliable production code
  • Implement efficient, scalable data pipelines and inference infrastructure
  • Develop high-performance tooling in ML and data engineering
  • Additional duties and responsibilities as reasonably required by the employee's supervisor or CEO
Requirements:
  • Experience building, training, evaluating, and deploying ML models in production
  • Strong experience using PyTorch, JAX, or other deep learning frameworks to develop and optimize models
  • Strong software engineering ability to build and maintain complex systems and work with large-scale datasets
  • Ability to solve open-ended problems and quickly learn new domains
  • Comfort operating with significant ownership and autonomy, making pragmatic trade-offs between model sophistication, velocity, inference and business constraints
  • BS, MS, or PhD in Computer Science or a related technical field, or equivalent practical experience

Nice to have:
  • Experience inferring structured, real-world attributes from images
  • Experience training models on large-scale, real-world image datasets
  • Familiarity with vision-language models (VLMs)
  • Ability to digest academic literature, prototype novel algorithms, and bridge the gap between research and production code
  • Experience building LLM or VLM pipelines and the evaluation frameworks to measure their performance
  • Experience in an ML role at a growth-stage startup
  • Publications in major ML or computer vision conferences (e.g., CVPR, ICML, ICCV, WACV)
  • Medical, Dental, Vision, STD and LTD Plans
  • FSA - Medical and Dependent Care
  • EAP and wellness programs
  • 13 Paid Holidays
  • Unlimited PTO
  • Flexible work environment - 100% remote
  • 401(k) plan

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