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Computer Vision Remote Jobs in Kansas (NOW HIRING)

Overstory

Strong background in deep learning, computer vision, or remote sensing * Skilled in designing end-to-end ML systems - from data ingestion and preprocessing to deployment and monitoring * Hands-on ...

PICTOR LABS INC

$89K - $123K/yr

Remote US Company: Pictor Labs Employment Type: Full-time Responsibilities * Design, development ... Deep understanding of computer vision model architectures, particularly generative models (GANs ...

Harris

Equal Employment OpportunityHarris Computer is an equal opportunity employer and is committed to ... Comprehensive Medical, Dental, and Vision benefits starting from your first day of employment

Harris

Equal Employment OpportunityHarris Computer is an equal opportunity employer and is committed to ... Comprehensive Medical, Dental, and Vision benefits starting from your first day of employment

S&S's Customer Information Systems

Equal Employment OpportunityHarris Computer is an equal opportunity employer and is committed to ... Comprehensive Medical, Dental, and Vision benefits starting from your first day of employment

Harris

Salary: 40K - 55K USD 55K - 76K CAD What your impact will be: * Develop, maintain, and enhance GIS ... Comprehensive Medical, Dental, and Vision benefits starting from your first day of employment

Harris

Salary: 40K - 55K USD 55K - 76K CAD What your impact will be: * Develop, maintain, and enhance GIS ... Comprehensive Medical, Dental, and Vision benefits starting from your first day of employment

FLS CONNECT LLC

TELEPHONE SALES REP - REMOTE

Wichita, KS · Remote

$11 - $20/hr

Must own your computer (that meets system requirements), USB headset, web camera, and wired ... Vision Abilities: The primary duty of this position is to read and comprehend scripts displayed on ...

Harris

Associates degree in Computer Science, Engineering, or a related field. * Proven experience as a ... Comprehensive Medical, Dental, and Vision benefits starting from your first day of employment

Harris

Associates degree in Computer Science, Engineering, or a related field. * Proven experience as a ... Comprehensive Medical, Dental, and Vision benefits starting from your first day of employment

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How much do computer vision remote jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for computer vision remote in Kansas is $18.60, according to ZipRecruiter salary data. Most workers in this role earn between $15.67 and $20.82 per hour, depending on experience, location, and employer.

What is a computer vision remote?

A Computer Vision Remote job involves developing and implementing computer vision algorithms and models while working from a remote location. Professionals in this role work on tasks like image recognition, object detection, and video analysis using AI and machine learning. They collaborate with teams via online communication tools and use cloud platforms or local computing resources for model training. These jobs are common in industries like healthcare, robotics, and autonomous systems.

What are the key skills and qualifications needed to thrive in computer vision remote?

Success as a Computer Vision Remote professional requires expertise in computer vision algorithms, image processing, programming (Python/C++), and a degree in computer science or a related field. Familiarity with popular frameworks such as OpenCV, TensorFlow, or PyTorch, and sometimes certifications in AI or data science, are typically advantageous. Strong communication, self-motivation, and problem-solving skills help remote workers collaborate effectively across distributed teams. These competencies are crucial for delivering high-quality solutions, meeting project deadlines, and excelling in a remote-first work environment.

What are some common challenges faced by remote computer vision professionals, and how are they addressed?

Remote computer vision professionals often encounter challenges such as collaborating across different time zones, accessing large datasets securely, and maintaining consistent communication with onsite teams. These challenges are typically overcome by using version control systems like Git, cloud storage solutions, and regular video meetings to stay connected and ensure alignment. Teams also rely on detailed documentation and code reviews to maintain project quality and foster knowledge sharing. By adopting these best practices, remote professionals can contribute effectively and remain engaged with their team and projects.

What are the most commonly searched types of Computer Vision jobs in Kansas?

The most popular types of Computer Vision jobs in Kansas are:

What are popular job titles related to Computer Vision Remote jobs in Kansas?

For Computer Vision Remote jobs in Kansas, the most frequently searched job titles are:

What job categories do people searching Computer Vision Remote jobs in Kansas look for?

The top searched job categories for Computer Vision Remote jobs in Kansas are:

What cities in Kansas are hiring for Computer Vision Remote jobs?

Cities in Kansas with the most Computer Vision Remote job openings:

Computer Vision Remote jobs near you
Infographic showing various Computer Vision Remote job openings in Kansas as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 16% Part Time, 1% Temporary, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $38,681 per year, or $18.6 per hour.

Staff Machine Learning Engineer - Wildfire

On-site, Remote

Overstory
See more jobs at Overstoryexternal

Full-time

Re-posted 19 days ago

Job description

Role & Team

As a Staff Machine Learning Engineer at Overstory, you will lead the development and scaling of our Wildfire Fuel Detection Model. This core engine powers how we understand vegetation structure, fuel loads, and wildfire risk from satellite and environmental data. You'll help shape the next generation of Overstory's modeling capabilities by combining cutting-edge ML techniques, large-scale geospatial data, and real-world domain expertise.

Reporting to our VP of Product Engineering, you'll work closely with data scientists, ML engineers, and product teams to ensure our wildfire models are accurate, robust, and production-ready - balancing scientific rigor with practical engineering excellence. As a senior technical leader, you'll mentor other engineers, drive architectural decisions, and define standards for modeling, experimentation, and deployment across Overstory.

Time zone requirement: Eastern North America (NST, AST, EST)

What You'll Do

In collaboration with data, ML, and science colleagues, you will:

  • Architect and build advanced ML models to map and predict vegetation and fuel conditions across diverse geographies.
  • Design and maintain robust data and feature pipelines for large-scale geospatial and temporal data.
  • Partner with wildfire science and product teams to define modeling objectives and evaluation metrics tied to real-world impact.
  • Build reproducible experimentation frameworks and model evaluation workflows.
  • Scale models from research to production with a focus on performance, reliability, and explainability.
  • Lead the evolution of ML systems, tooling, and processes - ensuring that our wildfire fuelscape models remain state-of-the-art and maintainable.
  • Collaborate with MLOps peers to streamline training, inference, and monitoring in production environments.
Skills & Experience
  • Experience thriving at the intersection of machine learning, geospatial data, and environmental science; deeply motivated by the opportunity to reduce wildfire risk through data-driven insights
  • 10+ years of experience designing and building production-grade ML pipelines and systems 
  • You have a background in wildfire science, forestry, or remote sensing
  • Strong background in deep learning, computer vision, or remote sensing
  • Skilled in designing end-to-end ML systems - from data ingestion and preprocessing to deployment and monitoring
  • Hands-on experience with frameworks like PyTorch, TensorFlow, XGBoost, or LightGBM, and data tools like Dask, Spark, or GeoPandas
  • Familiarity with GCP and Vertex AI, or similar cloud-based ML platforms
  • Strong communication skills and ability to collaborate across technical and scientific domains
  • Comfortable leading architectural discussions and mentoring other engineers
Nice To Have
  • Background in wildfire science, forestry, or remote sensing
  • Experience integrating physics-based models with ML or working with active learning and uncertainty quantification
  • Experience in model interpretability and data provenance for environmental ML systems
  • Experience with deep learning models for weather or climate data
  • Experience in remote-first or globally distributed teams

Note: We believe that all people are capable of great things. We encourage you to apply even if you do not meet all of the requirements that are listed within this job description.

What We Offer
  • Competitive, location-specific compensation and benefits 
  • Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around
  • Home office stipend, coworking and ongoing education budgets 
  • A company culture that genuinely embodies each of our core values
  • To be part of truly mission-driven work that reduces wildfires, protects earth's natural resources and helps solve our climate crisis

Apply