
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.
🔥 0 minutes ago
🇺🇸 United States – Remote
💵 $8 - $65 / hour
⏳ Contract/Temporary
🟡 Mid-level
🟠 Senior
🤖 Artificial Intelligence
👻 Ghost score 0%
Where this job comes from
Posted on Invisible Technologies's careers page, not through a job board
First seen by Remote Rocketship 0 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.
• Converse with advanced language models on real-world climate and environmental scenarios • Verify factual accuracy and logical soundness • Capture reproducible error traces • Suggest improvements to prompt engineering and evaluation metrics • Document model failure modes to harden model reasoning • Challenge language models on environmental physics topics to help train AI systems
• Expertise in atmospheric dynamics, radiation transfer, climate modeling, fluid mechanics, geophysical processes, remote sensing, hydrological systems, and energy balance theory • Ability to evaluate greenhouse gas fluxes, solar irradiance, boundary-layer physics, pollutant dispersion, ocean–atmosphere interactions, thermodynamic feedback loops, and land surface processes • PhD in environmental physics, atmospheric science, geophysics, or a related physical science field is ideal • Peer-reviewed publications, field research, or simulation/modeling experience signal fit • Clear, metacognitive communication and ability to “show your work” • Secure computer and high-speed internet
• No company-sponsored health insurance or PTO; these benefits do not apply to contractors • Contractor supplies a secure computer • Contractor supplies high-speed internet
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