1

Spatial Ai Jobs (NOW HIRING)

Research Engineer

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

In this role, you'll conduct foundational research in spatial AI for residential construction - developing novel approaches at the intersection of reinforcement learning, computer vision, LLMs, and ...

VP of Marketing

Manhattan, NY · On-site

  • Medical

  • Retirement

By combining computer vision, spatial intelligence, conversational AI, and augmented reality, TechSee empowers enterprises to diagnose issues, guide customers, and automate complex service ...

The Role Hovercraft is looking for a creative Spatial Designer to create brand experience work for ... Recruitment Notice We use AI-assisted tools solely to help identify and highlight keywords related ...

Digital Product Sr Manager - Spatial Twin

Plano, TX

$140K - $234K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... and AI-driven digital twins. The Product Owner will work closely with business stakeholders ... Responsibilities Spatial Digital Twin Product Strategy * Own the vision and roadmap for the Spatial ...

Digital Product Sr Manager - Spatial Twin

Plano, TX · On-site

$140K - $234K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... and AI-driven digital twins. The Product Owner will work closely with business stakeholders ... Responsibilities Spatial Digital Twin Product Strategy * Own the vision and roadmap for the Spatial ...

Digital Product Sr Manager - Spatial Twin

Plano, TX

$140K - $234K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... and AI-driven digital twins. The Product Owner will work closely with business stakeholders ... Responsibilities Spatial Digital Twin Product Strategy * Own the vision and roadmap for the Spatial ...

AI INTERIOR DESIGNER

New York, NY · On-site

$55K - $70K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This role blends creative vision, spatial design, data-driven insight, and emerging AI technologies to deliver visually compelling, high performance, and scalable interior design solutions across ...

AI INTERIOR DESIGNER

New York, NY · On-site

$55K - $70K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This role blends creative vision, spatial design, data-driven insight, and emerging AI technologies to deliver visually compelling, high performance, and scalable interior design solutions across ...

AI INTERIOR DESIGNER

New York, NY · On-site

$55K - $70K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This role blends creative vision, spatial design, data-driven insight, and emerging AI technologies to deliver visually compelling, high performance, and scalable interior design solutions across ...

Showing results 41-60

Spatial Ai information

See salary details

$100.5K

$123.1K

$153K

How much do spatial ai jobs pay per year?

As of Aug 18, 2026, the average yearly pay for spatial ai in the United States is $123,139.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $128,000.00 per year, depending on experience, location, and employer.

What is Spatial AI?

Spatial AI refers to artificial intelligence systems designed to perceive, understand, and interact with the physical world in real time by processing spatial data. It combines elements of computer vision, 3D mapping, and sensor fusion to enable machines to interpret and respond to their environment, commonly used in robotics, augmented reality, and autonomous vehicles. Spatial AI technologies help machines understand objects, spaces, and movement, allowing for more advanced navigation and interaction within complex environments.

How does a spatial AI specialist typically collaborate with cross-functional teams on large-scale projects?

Spatial AI specialists often work closely with data scientists, software engineers, and domain experts to develop and deploy intelligent spatial solutions. Their role involves integrating geospatial data with machine learning models, requiring frequent communication to align on project objectives, data requirements, and deployment strategies. Collaboration is key, especially when interpreting spatial data outputs for non-technical stakeholders and adapting models based on feedback from end users. Strong teamwork skills help ensure that spatial insights are actionable and support broader organizational goals.

What are the key skills and qualifications needed to thrive as a spatial AI engineer, and why are they important?

To excel as a Spatial AI Engineer, you need a solid background in computer vision, machine learning, and spatial data analysis, often supported by a degree in computer science, engineering, or a related field. Familiarity with tools such as Python, TensorFlow, OpenCV, GIS software, and experience with 3D data processing are commonly required, along with relevant certifications in AI or spatial technologies. Creative problem-solving, strong analytical thinking, and effective communication are crucial soft skills that help bridge technical solutions and real-world applications. These skills enable the development of innovative AI-driven spatial solutions that are accurate, efficient, and effectively meet organizational or client needs.

What is the difference between Spatial Ai vs GIS Analyst?

AspectSpatial AiGIS Analyst
Required CredentialsTypically requires knowledge of AI, machine learning, and spatial data processingRequires degree in geography, GIS, or related field; certifications like GISP are common
Work EnvironmentTech-focused, often in software development or data science teamsGovernment agencies, environmental firms, urban planning departments
Industry UsageEmerging in industries leveraging AI for spatial data analysisEstablished in mapping, urban planning, environmental management
Search & Comparison IntentUnderstanding AI-driven spatial analysis rolesTraditional GIS data analysis and mapping roles

Spatial Ai focuses on applying artificial intelligence to spatial data, often involving machine learning and advanced algorithms. GIS Analysts primarily work with geographic information systems to analyze and visualize spatial data. While both roles handle spatial data, Spatial Ai emphasizes AI integration, whereas GIS Analysts focus on traditional GIS tools and methods.

What jobs are available for spatial Ai?

Jobs related to spatial AI include roles such as geospatial data analyst, GIS developer, remote sensing specialist, and spatial data scientist. These positions often require skills in geographic information systems, programming, and data analysis, and may involve working with tools like ArcGIS, QGIS, or Python. Opportunities are available in industries like urban planning, environmental management, transportation, and technology companies focused on location-based services.
More about Spatial Ai jobs

What cities are hiring for Spatial Ai jobs?

Cities with the most Spatial Ai job openings:

What states have the most Spatial Ai jobs?

States with the most job openings for Spatial Ai jobs include:

What job categories do people searching Spatial Ai jobs look for?

The top searched job categories for Spatial Ai jobs are:

Infographic showing various Spatial Ai job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $123,139 per year, or $59.2 per hour.

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 19 days ago


Job description

About Us
Higharc is a VC-backed startup that is changing how new homes are designed and built. Join a founding team who've shipped products for Autodesk, Electronic Arts, Nike, and Apple. We have raised over $175M with support from top-notch venture capital firms and more than 18 strategic investors-industry leaders in construction, building products manufacturing, and distribution.
Higharc is hiring a Research Engineer to join our Special Projects team. In this role, you'll conduct foundational research in spatial AI for residential construction - developing novel approaches at the intersection of reinforcement learning, computer vision, LLMs, and 3D geometry to solve problems that have no off-the-shelf solutions.
What You'll Do
You'll produce the research capabilities that power Higharc's AI platform, working on problems that don't exist anywhere else. Expect to:
  • Design and conduct original research in spatial reasoning for residential construction, developing models that understand architectural structure, spatial relationships between building components, and the geometric constraints that govern how homes can be built.
  • Design end-to-end LLM training and fine-tuning pipelines tailored to construction domains, developing domain-specific pre-training and SFT datasets from architectural drawings, building codes, product specifications, and construction documentation.
  • Apply computer vision techniques to extract semantic structure from architectural inputs and develop multimodal training pipelines that link visual and textual representations of building data, enabling models that reason across drawings, specifications, and code requirements simultaneously.
  • Develop RL-based approaches for generative architectural design and architect RAG systems that ground LLM outputs in authoritative construction knowledge bases, reducing hallucination for high-stakes building decisions.
  • Define construction-domain benchmarks, build ground-truth datasets, and establish eval pipelines that measure model performance against real homebuilding tasks rather than generic benchmarks. Research emerging foundation models and parameter-efficient fine-tuning approaches (LoRA, QLoRA, adapter layers) to inform Higharc's model strategy.
  • Deliver research outputs ready for integration, including documented model artifacts, serving-ready pipelines, and clear API contracts, and partner with the Prototyping Engineer to deploy fine-tuned models and RAG systems into the Higharc platform.
About You
You do your best work when you can go deep. You treat residential construction as a worthy and complex problem space, not a stepping stone to a more prestigious domain, and you bring the same intellectual honesty to negative results as to positive ones. You understand that research that never ships is indistinguishable from research that never happened.
You have:
  • 5+ years of professional software engineering experience, with 2+ years directly on LLM development, fine-tuning, or applied ML systems in production
  • Hands-on experience with model training frameworks (HuggingFace Transformers, PyTorch) and fine-tuning workflows on domain-specific corpora
  • Practical experience with RAG architectures, vector databases (Pinecone, Weaviate, pgvector), and embedding model selection
  • Experience with 3D modeling, computational geometry, or computer graphics in a research or production context
  • Strong proficiency in Python across the ML ecosystem; React/TypeScript proficiency for integration work
  • A Master's degree in Computer Science, Machine Learning, AI, or a closely related field

A major plus if you also bring:
  • A Ph.D., particularly for candidates focused on model research and pre-training
  • Open-source contributions or published research
  • Familiarity with BIM tools (Revit, AutoCAD) or BIM data formats (IFC, gbXML)
  • Experience with Three.js or equivalent 3D frameworks

While we've identified the core experience and skills required above, please still apply if you have more or different experience than this! We will use your previous experience and performance across the series of interviews to establish appropriate level within our organization in a fair and equitable way.
Working at Higharc
Higharc has been remote first since our founding in 2018. We offer flexible hours so you can do your best work without missing out on life. Higharc offers competitive salaries with significant equity, in a fast-growing, well-funded company.
Personal healthiness is an important value for us- we provide comprehensive medical, dental, and vision coverage, with flexible PTO, and meaningful maternity/paternity leave to all U.S based employees that are full-time. You'll also have access to other big-company benefits such like short and long-term disability plans and a 401K. Haven't worked remotely before? We provide a stipend to create the ideal home office.
Please note: we are seeing an uptick of fraudulent recruiting activity claiming to be associated with Higharc. All communication and outreach from our in-house team will come from an @higharc.com email address.