
201 - 500 employees
Founded 2015
💼 Consulting
🏥 Healthcare
📦 Logistics
💰 $100M Series unknown on 2025-10
Consulting • Healthcare • Logistics
Invisible Technologies is an enterprise AI platform and services company that builds and deploys production-grade AI systems for large organizations. They combine a modular SaaS platform (data platform, process builder, agents, evaluations) with an expert human marketplace to train models, automate complex back-office workflows, power contact centers, provide computer vision and demand-forecasting solutions, and ensure ongoing evaluation and governance. Invisible works across sectors (finance, healthcare, public sector, sports, retail) to integrate AI into real operational systems and scale outcomes.
🔥 1 hour ago
Where this job comes from
Posted on Invisible Technologies's careers page, not through a job board
First seen by Remote Rocketship 1 hour ago
Still open on Invisible Technologies's site. Checked 53 minutes ago.

201 - 500 employees
Founded 2015
💼 Consulting
🏥 Healthcare
📦 Logistics
💰 $100M Series unknown on 2025-10
Consulting • Healthcare • Logistics
Invisible Technologies is an enterprise AI platform and services company that builds and deploys production-grade AI systems for large organizations. They combine a modular SaaS platform (data platform, process builder, agents, evaluations) with an expert human marketplace to train models, automate complex back-office workflows, power contact centers, provide computer vision and demand-forecasting solutions, and ensure ongoing evaluation and governance. Invisible works across sectors (finance, healthcare, public sector, sports, retail) to integrate AI into real operational systems and scale outcomes.
• Help shape the development of a geospatial reasoning agent focused on crisis response • Evaluate AI-generated outputs • Identify analytical weaknesses • Design metrics and test cases to advance model understanding and predictive accuracy • Review geospatial scenarios • Validate model outputs • Define and refine reasoning frameworks • Collaborate with the team to improve data-driven evaluations
• Experienced geospatial professional • Deep experience in geospatial analysis, crisis response, or related domains such as damage assessment, agriculture, site selection, supply chain optimization, or forecasting • Professional experience in geospatial analysis, GIS systems, or spatial modeling • Proficiency with geospatial tools and libraries such as QGIS, ArcGIS, GDAL, or PostGIS is preferred • Strong reasoning • Attention to detail • Ability to communicate complex spatial relationships clearly
• No company-sponsored health insurance or PTO; these benefits do not apply to contractors • Contractor supplies a secure computer • Contractor supplies a high-speed internet connection
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