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Remote Spatial Reasoning Jobs in California (NOW HIRING)

JITX

Senior Software Engineer

Berkeley, CA · On-site +1

$150K - $250K/yr

Computational geometry and spatial data structures * Constraint solving and optimization Simulation ... Comfortable reasoning formally about geometry, linear algebra, or optimization * Solid software ...

Jitx Inc.

Senior Software Engineer

Berkeley, CA · On-site +1

$150K - $250K/yr

... and spatial data structures - Constraint solving and optimization Simulation Integration ... Comfortable reasoning formally about geometry, linear algebra, or optimization - Solid software ...

Jitx Inc.

Senior Software Engineer

Berkeley, CA · On-site +1

$150K - $197K/yr

... and spatial data structures - Constraint solving and optimization Simulation Integration ... Comfortable reasoning formally about geometry, linear algebra, or optimization - Solid software ...

All JobsRemote Spatial Reasoning JobsRemote Spatial Reasoning Jobs in California

Remote Spatial Reasoning information

What remote jobs will survive AI?

Remote spatial reasoning jobs, such as GIS analysts, cartographers, and remote sensing specialists, are likely to persist as they require complex analysis, critical thinking, and domain expertise that are difficult for AI to fully replicate. These roles often involve interpreting spatial data, using specialized software, and applying human judgment, making them more resilient to automation. Developing skills in GIS tools, data analysis, and certification can enhance job security in this field.

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 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 jobs are good for spatial reasoning?

Jobs that require strong spatial reasoning include roles such as architects, civil engineers, surveyors, urban planners, and CAD technicians. These positions involve visualizing and manipulating 3D models, designing layouts, or interpreting spatial data, often using tools like CAD software or GIS systems.

Do people with ADHD have good spatial reasoning?

Remote spatial reasoning roles often require strong visualization and problem-solving skills. While some individuals with ADHD may excel in tasks involving creativity and thinking outside the box, research shows that ADHD can impact certain executive functions, including spatial reasoning, but this varies widely among individuals.

What jobs pay $10,000 a month without a degree?

Remote spatial reasoning roles, such as GIS analysts or remote mapping specialists, can pay around $10,000 per month with experience and specialized skills in GIS software, data analysis, and remote collaboration tools. Many of these positions value expertise and certifications over formal degrees, especially in tech-driven environments.
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Remote Spatial Reasoning jobs near you

Single-Cell Genomics - Fully Remote | Upto $100/hr

Mercor

San Francisco, CA • Remote

$100/hr

Full-time

Posted 6 days ago

Be an early applicant

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: STEM Computational Scientific Software & Evaluation Design - Bioinformatics & Single-Cell Genomics
Type: Contract
Compensation: $70–$100/hour
Location: Remote
Commitment: 15–20 hours/week

Role Responsibilities

  • Design graduate-level computational problems using domain-specific scientific software libraries like scanpy, scvelo, squidpy, and gudhi.
  • Evaluate AI models by creating tasks that require strategic reasoning and interpretation of partial observations.
  • Refine problem designs through a calibration loop with state-of-the-art AI models to achieve target difficulty.
  • Develop problems for single-cell RNA-seq analysis, trajectory inference, and spatial transcriptomics.
  • Work independently and asynchronously to iterate on problem designs based on feedback.
  • Collaborate with AI research teams to enhance problem-solving strategies and model performance.

Qualifications

Must-Have

  • Graduate-level training in a relevant STEM domain (MS, PhD, or equivalent research experience).
  • Proficiency with scientific software libraries like scanpy, scvelo, squidpy, and gudhi.
  • Strong Python programming skills.
  • Ability to work in a Linux/terminal environment with remote compute sandboxes.
  • Available for at least 15–20 hours per week.

Preferred

  • Experience across multiple domains or tools.
  • Familiarity with benchmark or evaluation design.
  • Background in scientific pedagogy or exam/problem-set design.
  • Experience with computational reproducibility and containerized environments.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.