
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
🇵🇭 Philippines – 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.
• Challenge advanced language models on environmental science topics • Converse with models using real-world scenarios and theoretical environmental science questions • Verify factual accuracy and logical soundness • Capture reproducible error traces • Document model failure modes • Suggest improvements to prompt engineering and evaluation metrics • Help train AI systems intended to support scientific discovery, education, and environmental analysis
• Environmental science expertise spanning climate science, environmental chemistry, hydrology, atmospheric science, soil science, ecology, sustainability, and geospatial analysis • Expertise in carbon cycling, environmental impact assessment, air and water quality monitoring, ecosystem modeling, life cycle analysis, environmental toxicology, renewable energy systems, and climate adaptation strategies • Clear, metacognitive communication and ability to “show your work” • PhD in environmental science or a closely related earth or ecological science field is ideal • Peer-reviewed publications, field research, regulatory experience, or GIS-based environmental assessments signal fit • Geographic location considered in determining the exact pay rate
• Contractor supplies a secure computer and high-speed internet • Company-sponsored benefits such as health insurance and PTO do not apply
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