Review and analyze geospatial scenarios involving uncertain and complex real-world data.
Evaluate AI-generated outputs for accuracy, relevance, and spatial reasoning quality.
Collaborate with technical teams to improve evaluation frameworks and model performance.
This role is offered by a partner company leveraging geospatial expertise to train AI systems. The company is a growing organization with a remote-first culture and a focus on flexible, project-based work.
Develop imaging products for end-users from infrared imaging missions, including FireSat and SBEM programs.
Research, design, and implement scalable algorithms for image mosaicking, orthorectification, and radiometric normalization.
Write production-ready code, engage with customers, and ensure scientific quality and validation of data products.
Muon Space is an end-to-end Space Systems Provider that designs, builds, and operates LEO satellite constellations delivering mission-critical data. Founded in 2021, the company has a state-of-the-art facility in Silicon Valley and offers a comprehensive benefits package, focusing on Earth Intelligence for climate monitoring and national security.
Lead software development of an ArcGIS Pro extension integrating machine learning modules and geospatial models.
Collaborate with data scientists to fulfill requests for information from senior government officials.
Utilize expertise in Python, cloud technologies, and data analytics to optimize production activities.
Empower AI provides AI solutions for federal government agencies, leveraging three decades of experience in Health, Defense, and Civilian missions. The company is headquartered in Reston, Va., and is recognized as a 2024 Military Friendly Employer with a workforce committed to hiring veterans.
Design, build, and maintain scalable data pipelines for geospatial data.
Develop and drive data quality standards, including validation and monitoring.
Collaborate with engineers and scientists to understand requirements and deliver solutions.
Vibrant Planet provides a cloud-based, AI-driven platform for wildfire risk management. They are a startup backed by climate leaders, fostering a collaborative and innovative engineering culture.
Lead development and implementation of enterprise GIS solutions for Bureau of Reclamation programs.
Perform advanced spatial analysis and maintain enterprise geodatabases using ArcGIS and Python.
Provide technical leadership and mentorship to GIS team members.
Geo CGI provides geospatial consulting services to federal agencies. They offer a generous benefits package and a corporate culture focused on GIS professionals.
Design, build, and maintain core features for large-scale Python frameworks and machine learning platforms.
Collaborate with internal teams and open-source communities through code reviews, discussions, and contributions.
Architect scalable, reliable, and user-friendly software solutions that serve as foundational tools for developers and AI practitioners.
The partner company develops open-source Python frameworks and developer platforms that empower AI and machine learning innovation. They are a distributed team with a mission-driven culture, valuing diversity, collaboration, and continuous learning.
Own the data platform including cloud infrastructure and data production systems.
Gather and prioritize requirements from internal teams and translate into technical specs.
Partner with engineering teams to deliver new functionality and track success metrics.
Vibrant Planet is a team of leaders in fire science, forestry, and tech who provide a cloud-based AI platform for wildfire risk mitigation. They are a startup backed by climate investors like Grantham Foundation and foster a fully remote, fast-paced culture.
Build and scale massive distributed compute and storage systems for AI training.
Architect multi-cluster orchestration and optimize workload placement across global regions.
Design future-proof storage formats and implement metadata systems for exabyte-scale growth.
Mistral provides full-stack AI solutions, from frontier models to developer tools. They are a dynamic, collaborative team with a diverse workforce, passionate about innovation and low-ego teamwork.
Execute complex GIS, lidar, and remote sensing projects by managing technical workflows and ensuring data accuracy.
Perform lidar processing, calibration, QA/QC, and create digital mapping products.
Collaborate with technical teams, support multi-sensor processing, and mentor junior staff.
We provide advanced geospatial, GIS, and remote sensing solutions for public-sector and enterprise clients. Our collaborative multidisciplinary engineering environment focuses on innovation, quality, and continuous improvement.
Develop, train, and evaluate machine learning models to support product objectives.
Prepare, clean, and analyze datasets for model training and validation.
Deploy, monitor, and improve machine learning models in production environments.
The partner company develops AI-powered products to solve real-world challenges. They offer a fully remote, flexible work environment with a focus on innovation and collaboration.
Analyze and process topographic lidar, topobathymetric data, and related geospatial products.
Develop scripts and automation to improve production efficiency and data accuracy.
Perform quality assurance and collaborate with teams to ensure deliverables meet specifications.
This partner company works on advanced geospatial projects supporting critical mapping, environmental, and infrastructure initiatives across the U.S. The company fosters a technology-driven consulting environment focused on technical excellence, teamwork, and continuous improvement.
Platform architecture: own the architecture of the geospatial platform including cloud-native data and serving layers.
Data at scale: translate science outputs into reliable, versioned data products for applications and partners.
Standards & reliability: set engineering standards with Infrastructure-as-Code on AWS and ensure platform reliability.
Lynker Corporation is a leading provider of innovative solutions in weather and climate science. They are a growing, employee-owned business specializing in professional, scientific, and technical services, fostering a culture of exceptionally skilled professionals.
Design, build, and maintain scalable data pipelines for ingestion and transformation.
Work with Python, SQL, Apache Airflow, and Google Cloud Platform.
Collaborate with cross-functional teams to deliver reliable and high-quality data solutions.
Our partner is a technology company focused on AI and data solutions. The team values collaboration, innovation, and continuous learning, and offers a remote work environment.
Define and execute the research strategy for core AI intelligence, including reasoning, planning, memory, and context representation.
Lead technical decisions on model architecture, balancing proprietary solutions with state-of-the-art models.
Establish and oversee AI alignment, safety, and guardrail strategies to ensure responsible system behavior.
This company develops an advanced AI platform to automate complex digital workflows. They are a small, highly experienced team with a fast-moving culture focused on cutting-edge machine learning.
Develop and improve AI solutions using state-of-the-art machine learning and LLM technologies.
Collaborate with data scientists, product owners, and developers throughout the data-driven development process.
Apply software engineering best practices to build reliable code and conduct code reviews.
Wrike is a work management platform that helps teams collaborate and increase productivity. With over 1,000 employees across 10 global hubs, the company fosters a culture of innovation, collaboration, and customer focus.
Develop geometry processing and simulation algorithms for engineering applications.
Build services for reading, processing, and writing 2D/3D engineering data.
Curate large-scale datasets and optimize post-training workflows for machine learning models.
Foundation EGI is an MIT-born, venture-backed Silicon Valley startup building an AI Copilot for design and manufacturing. The company is small and rapidly growing, with a culture focused on applying advanced AI to real engineering problems.