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Spatial Reasoning Jobs (NOW HIRING)

Caterpillar Brazil

The Spatial Intelligence Architect owns how the machine reasons about space to plan and get work ... Squarely within Robotics -- reasoning, planning, VLA, and behavior generation -- this role turns ...

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Caterpillar

Spatial Intelligence Architect

Irving, TX · On-site

The architect defines the spatial reasoning behind task and motion planning, spatially grounded VLA, and behavior generation, and sets the standards and interfaces for what Robotics consumes from ...

Custom Personnel

Brick Tenders

Crescent City, CA · On-site

Spatial reasoning and observation skills to layout forms and assess alignment * Ability to move heavy materials from one location to another * Computer skills to utilize email, cost estimator ...

Varsity Tutors

AFOQT Tutor

Richmond, VA · Remote

$40/hr

Skilled at teaching spatial reasoning, instrument reading interpretation, and quantitative problem-solving strategies for AFOQT. Guides students through verbal analogy patterns, arithmetic word ...

Varsity Tutors

AFOQT Tutor

NV · Remote

$40/hr

Skilled at teaching spatial reasoning, instrument reading interpretation, and quantitative problem-solving strategies for AFOQT. Guides students through verbal analogy patterns, arithmetic word ...

Varsity Tutors

AFOQT Tutor

Tuscaloosa, AL · Remote

$40/hr

Skilled at teaching spatial reasoning, instrument reading interpretation, and quantitative problem-solving strategies for AFOQT. Guides students through verbal analogy patterns, arithmetic word ...

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How much do spatial reasoning jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for spatial reasoning in the United States is $43.67, according to ZipRecruiter salary data. Most workers in this role earn between $29.33 and $51.92 per hour, depending on experience, location, and employer.

What is a spatial reasoning job?

A Spatial Reasoning job involves analyzing and interpreting spatial relationships between objects, environments, or data. These roles are common in fields like engineering, architecture, data visualization, and geospatial analysis. Professionals use spatial thinking to solve complex problems, design structures, or develop mapping solutions. Strong skills in visualization, pattern recognition, and problem-solving are essential.

What types of projects or tasks do spatial reasoning professionals typically work on?

Spatial reasoning professionals often engage in projects like urban planning, transportation logistics, mapping, land use analysis, and site selection. Their typical tasks may include analyzing spatial data sets, creating digital or physical maps, utilizing GIS tools to interpret trends, and collaborating with engineers, planners, or surveyors to provide actionable recommendations. The work environment can vary from office-based settings to fieldwork, depending on the industry and project phase. Professionals in this field frequently contribute to teams handling large-scale projects where spatial accuracy and careful data interpretation are crucial. As their expertise grows, many advance to leadership roles in project management, consulting, or specialized analysis.

What are the key skills and qualifications needed to thrive in the spatial reasoning position, and why are they important?

To excel in spatial reasoning-related roles, such as spatial analyst or spatial data scientist, candidates need strong analytical skills, proficiency in mathematics or geometry, and a relevant degree in geography, engineering, architecture, or a related field. Experience with GIS software, CAD tools, remote sensing systems, or spatial modeling platforms is highly beneficial, along with certifications in geographic information systems or spatial analysis. Outstanding problem-solving, visualization, and communication skills help professionals understand complex spatial data and present insights effectively. These abilities are vital for making accurate decisions and delivering solutions in areas like urban planning, navigation, or environmental analysis.

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Infographic showing various Spatial Reasoning job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 59% Full Time, 35% Part Time, 3% Contract, and 1% Nights. Highlights an 70% Physical, 1% Hybrid, and 29% Remote job distribution, with an average salary of $90,827 per year, or $43.7 per hour.

AI Research Scientist - Spatial Reasoning

San Francisco, CA • On-site

P-1 Ai
See more jobs at P-1 Aiexternal

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 22 days ago

Job description

TL;DR: If you:

  • think deeply about how machines reason about the physical world;
  • have a track record of exceptional research or engineering achievement;
  • move effortlessly between papers, experiments, and production code;
  • love difficult problems with no obvious solution…

… you should apply for this role!

About P-1 AI:

At P-1 AI, we are building an AI engineer agent for the physical world named Archie. We maximize Archie’s anthropomorphism so that he fits seamlessly into existing engineering teams and workflows in the form factor of a human engineer. Archie today is at the level of a junior mechanical and electrical engineer, with a quantitative intuition over the product design space and the ability to use complex engineering tools—the same tools his human teammates use. Archie's tech stack includes a custom agentic harness, structured design representation, continual skills learning, and small custom post-trained models (SFT and RLVR) using proprietary semi-synthetic training data sets and environments which create a deep competitive moat. Our ultimate aim is to build engineering ASI. We are backed in our mission by some of the top venture investors and AI luminaries.

About the opportunity:

We’re seeking an exceptional AI Research Scientist to join our small team of elite researchers and help us push the boundaries of AI applied to the physical world. This role blends cutting-edge AI research with hands‑on engineering, and is ideal for someone who thrives at the intersection of ideas and implementation.

About the role:
  • Research and develop new approaches for spatial reasoning, geometric understanding, physical reasoning, and structured world modeling in large-scale AI systems.
  • Own the full development pipeline from data generation to evaluation to product integration.
  • Contribute to both research strategy and technical implementation—this is a hands‑on role. Have ownership over your own applied research stream.
  • Investigate topics such as 3D reasoning, geometric representations, multimodal reasoning, world models, simulation, and physical intuition.
  • Stay on the edge of what’s possible and bring promising ideas into reality (e.g. following the literature, attending conferences, etc).
About you:
  • Have conducted research in one or more areas such as spatial reasoning, geometric deep learning, 3D vision, multimodal reasoning, world models, robotics, simulation, or related fields.
  • Are fluent in Python and modern ML stack such as PyTorch or JAX, and distributed training frameworks.
  • Creative approach to bringing definition and solutions to under‑specified challenges.
  • Are fascinated by how intelligent systems perceive, represent, and reason about the physical world.
  • Thrive in fast‑moving, collaborative environments, and communicate technical matters with clarity.
  • Take a high‑ownership, “make it work” approach to problem solving.

As a bonus, you may have:

  • A PhD (or equivalent experience) in Computer Science, Robotics, Engineering, Math, or a related field.
  • Publications in top‑tier venues.
  • Experience working with CAD data, point clouds, meshes, simulation environments, or other geometric representations.
Location:

Onsite in San Mateo, CA. Relocation support available.

Benefits:

Competitive salary, meaningful equity ownership, healthcare, dental, vision, 401(k) match, and unlimited PTO.

Interview process:
  • Initial screening call (30 mins)
  • Biographical/behavioural interview (60 mins)
  • Technical interview (75 mins)
  • CEO interview (30 mins)
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