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Manager Spatial Designer Jobs in Seattle, WA (NOW HIRING)

Architect

Seattle, WA · On-site

$90 - $125/hr

At Cushing Terrell, this role is about more than designing buildings, it's about creating ... Successfully manage multiple projects simultaneously while balancing competing priorities ...

New

Architect

Seattle, WA · On-site

$90K - $125K/yr

At Cushing Terrell, this role is about more than designing buildings, it's about creating ... Successfully manage multiple projects simultaneously while balancing competing priorities ...

At Cushing Terrell, this role is about more than designing buildings, it's about creating ... Successfully manage multiple projects simultaneously while balancing competing priorities ...

Architect

Seattle, WA · On-site

$90K - $125K/yr

At Cushing Terrell, this role is about more than designing buildings, it's about creating ... Successfully manage multiple projects simultaneously while balancing competing priorities ...

Architect

Seattle, WA · On-site

$90K - $125K/yr

At Cushing Terrell, this role is about more than designing buildings, it's about creating ... Successfully manage multiple projects simultaneously while balancing competing priorities ...

Lab Planner

Seattle, WA · On-site

$110 - $170/hr

The role focuses on supporting clients designing the hardware fueling the Artificial Intelligence ... Manage day-to-day project and client coordination for laboratory projects from initial planning ...

New

Showing results 41-60

Manager Spatial Designer information

See Seattle, WA salary details

$20

$24

$27

How much do manager spatial designer jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for manager spatial designer in Seattle, WA is $24.35, according to ZipRecruiter salary data. Most workers in this role earn between $22.98 and $25.72 per hour, depending on experience, location, and employer.

What is the difference between Manager Spatial Designer vs Spatial Designer?

AspectManager Spatial DesignerSpatial Designer
CredentialsBachelor's degree in design, architecture, or related field; experience in project managementBachelor's degree in design, architecture, or related field; portfolio showcasing design skills
Work EnvironmentOversees teams, coordinates projects, liaises with clientsFocuses on creating spatial concepts, drafting, and visualizations
Industry UsageUsed in architecture, interior design, urban planning firmsCommonly employed in similar industries for design execution

The main difference is that the Manager Spatial Designer oversees design teams and manages projects, while the Spatial Designer primarily focuses on creating and developing spatial concepts. The manager role involves leadership and coordination, whereas the designer role emphasizes technical and creative design work.

Is a manager spatial designer a stressful job?

A manager spatial designer often faces stress related to project deadlines, client expectations, and coordinating multiple teams. The role requires strong organizational skills and the ability to manage complex spatial planning tasks, which can contribute to work-related pressure.

What does a manager spatial designer do?

A manager spatial designer oversees the planning and design of physical spaces, ensuring they meet functional, aesthetic, and safety standards. They coordinate with clients, architects, and contractors, often using design software like AutoCAD or SketchUp, and may manage teams to deliver projects on time and within budget.

What cities near Seattle, WA are hiring for Manager Spatial Designer jobs?

Cities near Seattle, WA with the most Manager Spatial Designer job openings:

Infographic showing various Manager Spatial Designer job openings in Seattle, WA as of August 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 100% In-person job distribution, with an average salary of $50,642 per year, or $24.3 per hour.

Research Engineer, Visual Knowledge Work

Anthropic

Seattle, WA • On-site

Full-time

Re-posted 9 days ago


Job description

About the role

We're looking for a research engineer who believes that visual and spatial reasoning are core to fully unlocking the capabilities of LLMs. On the Vision team, you'll own the end-to-end process of creating training data and RL environments targeting visual knowledge work: identifying long-horizon and vision-heavy tasks, building evals, designing rewards, and scaling data. This is a unique role that combines applied research with hands-on data work. It's also highly collaborative - you'll partner with external vendors, pretraining, RL, and product teams to make sure the environments you build translate into real-world knowledge work capabilities.

What you'll do:
  • Own the data strategy for vision capabilities end-to-end, from building evals and scaling RL environments
  • Manage technical relationships with external data vendors, including writing task specifications, evaluating visual data and annotation quality, and iterating on reward design
  • Develop and improve QA frameworks that catch reward hacking and ensure environment quality at scale
  • Run generalization experiments to measure how data strategy changes improve multimodal capabilities on held-out evaluations
  • Partner with pretraining, RL, and product teams, and do the science that shows we're all rowing in the same direction
You may be a good fit if you:
  • Have 7+ years of ML, computer vision, and software engineering experience through industry, academia, or other projects
  • Have experience with reinforcement learning, reward design, or training data curation for large language or vision-language models
  • Are familiar with the architecture, training, and operation of large vision language models
  • Are comfortable managing technical vendor relationships and iterating quickly on feedback
  • Are results-oriented, with a bias towards flexibility and impact
  • Care about the societal impacts of your work
Strong candidates may also have experience with:
  • Designing evals or benchmarks for LLMs or vision language models
  • Large-scale pretraining, SL, and RL on language models
  • Deep learning research on images, video, or other modalities
  • Developing complex agentic systems using LLMs
  • Large-scale ETL and data pipeline development
Representative projects:
  • Writing a vendor-facing specification for a new family of visual RL training tasks, then iterating with the vendor on coverage, quality, and reward design
  • Running experiments to determine ideal training datamixes and parameters for a synthetically generated vision dataset
  • Finetuning Claude to maximize its performance using a particular set of agent tools/skills