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Spatial Reasoning Jobs in California (NOW HIRING)

TFX Inc.

Head Of Production

Oxnard, CA · On-site

$90K/yr

Strong technical drawing interpretation and spatial reasoning About Company TFX is a composite design and manufacturing company serving major aerospace and themed-entertainment clients, including ...

IntelliPro Group Inc.

Data Annotator

San Francisco, CA · On-site

Proven proficiency in LiDAR or Point Cloud systems, or alternatively, a relevant undergraduate degree demonstrating superior 3D spatial reasoning. * Preferred Experience: A minimum of three years of ...

BBSI- Modesto

CNC Nesting Technician

Merced, CA · On-site

$22 - $24/hr

Strong understanding of spatial reasoning and basic geometry. * Reliability: Ability to commit to the full 4-6-week project duration with a focus on precision and deadlines. * Strong communication ...

IntelliPro Group Inc.

Data Annotator

Sunnyvale, CA · On-site

Proven proficiency in LiDAR or Point Cloud systems, or alternatively, a relevant undergraduate degree demonstrating superior 3D spatial reasoning. * Preferred Experience: A minimum of three years of ...

IntelliPro Group Inc.

Data Annotator

San Francisco, CA · On-site

$35 - $40/hr

Proven proficiency in LiDAR or Point Cloud systems, or alternatively, a relevant undergraduate degree demonstrating superior 3D spatial reasoning. * Preferred Experience: A minimum of three years of ...

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Spatial Reasoning information

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$19

$42

$74

How much do spatial reasoning jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for spatial reasoning in California is $42.76, according to ZipRecruiter salary data. Most workers in this role earn between $28.72 and $50.84 per hour, depending on experience, location, and employer.

What are people with spatial intelligence good at?

People with spatial intelligence excel at visualizing objects, understanding spatial relationships, and mentally manipulating images. These skills are valuable in careers such as architecture, engineering, design, and fields that require strong visualization and problem-solving abilities.

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 is a spatial reasoning IQ?

A spatial reasoning IQ measures a person's ability to visualize and manipulate objects in space, which is important for jobs requiring spatial awareness such as architecture, engineering, and design. It is often assessed through standardized tests that evaluate skills like mental rotation, spatial visualization, and pattern recognition.

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.

What jobs are good for spatial skills?

Jobs that require strong spatial reasoning include architecture, engineering, surveying, and graphic design. These roles often involve visualizing objects in three dimensions, working with CAD software, or interpreting spatial data. Proficiency in visualization tools and attention to detail are important in these fields.

What careers use spatial reasoning?

Spatial reasoning is essential in careers such as architecture, engineering, graphic design, and surveying, where visualizing and manipulating objects in three-dimensional space is required. Professionals in these fields often use tools like CAD software and benefit from strong visualization skills to plan, design, and analyze structures or layouts.

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 are the most commonly searched types of Spatial Reasoning jobs in California? The most popular types of Spatial Reasoning jobs in California are:
What are popular job titles related to Spatial Reasoning jobs in California? For Spatial Reasoning jobs in California, the most frequently searched job titles are:
What job categories do people searching Spatial Reasoning jobs in California look for? The top searched job categories for Spatial Reasoning jobs in California are:
What cities in California are hiring for Spatial Reasoning jobs? Cities in California with the most Spatial Reasoning job openings:
Spatial Reasoning jobs near you
Infographic showing various Spatial Reasoning job openings in California as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $88,941 per year, or $42.8 per hour.

Senior / Staff AI Research Scientist, Foundation Models

RoboForce

Milpitas, CA • On-site

$114K - $146K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted yesterday

Job description

Why RoboForce
RoboForce is an AI robotics company developing Physical AI-powered Robo-Labor for dull, dirty, and dangerous work. The company's robots are engineered for demanding industrial environments, with a focus on real-world deployment and scalability.
We are looking for a Senior / Staff AI Research Scientist, Foundation Models to advance robotic embodied intelligence. In this role, you will develop algorithms that enable robots to understand their environment, interpret and execute tasks, and communicate seamlessly with humans - with a particular focus on building and training world models that allow robots to predict, plan, and generalize across complex physical tasks.
Responsibilities
  • Design and deploy vision-language(-action) models (VLM/VLA) for contextual understanding and generalized robot action policies.
  • Develop and train world models for action-conditioned prediction, long-horizon planning, and environment simulation - enabling robots to reason about the consequences of their actions before execution.
  • Research approaches to improve world model fidelity using multi-modal inputs including vision, language, proprioception, and spatial representations.
  • Develop foundation models with spatial reasoning capabilities to achieve high-precision robotic actions.
  • Integrate multi-modal data sources (vision, language, speech, etc.) to enable natural human-robot communication.
  • Optimize and deploy models as production-grade solutions on RoboForce robotic platforms.

Requirements
  • PhD degree in Machine Learning, Robotics, or related field, or Master's degree with 4+ years of relevant experience.
  • Proficiency in Python and deep learning frameworks (e.g., PyTorch, JAX).
  • Expertise in large foundation models (VLM, VLA, etc.).
  • Strong understanding of world model architectures and action-conditioned generative modeling for robot learning.
  • Decent understanding of multimodal models, modern ML architectures (transformers, diffusion models, etc.).
  • Requires 5 days/week in-office collaboration with the teams.

Bonus Qualifications
  • Experience with video generation or prediction models (e.g., diffusion-based video models, autoregressive video transformers) and their application to world modeling or synthetic data generation for robot learning.
  • Strong publication record at top conferences (NeurIPS, ICML, CVPR, ICCV, CoRL, ICRA, or equivalent).
  • Expertise in neural network deployment (e.g., TensorRT) and GPU programming with CUDA.
  • Proven ability to design scalable experimentation and data pipelines.

Benefits
  • Competitive stock options/equity programs.
  • Health, dental, and vision insurance, 401(k) plan.
  • Visa sponsorship and green card support for qualified candidates.
  • Lunches and dinners, a fully stocked kitchen, and regular team-building events.

Apply