
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 minute ago
🇵🇭 Philippines – Remote
💵 $8 - $65 / hour
⏳ Contract/Temporary
🟡 Mid-level
🟠 Senior
🖥 Software Engineer
👻 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 1 minute 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 AI models on laboratory scenarios and theoretical materials science questions • Verify factual accuracy and logical soundness of model responses • Capture reproducible error traces and document failure modes • Suggest improvements to prompt engineering and evaluation metrics • Challenge advanced language models on materials science and engineering topics to improve model reasoning
• Materials science and engineering expertise • Expertise in crystallography, thermomechanical processing, nanomaterials, polymer science, electronic materials, biomaterials, corrosion science, and composite development • Knowledge of phase transformations, microstructure-property relationships, materials characterization techniques (XRD, SEM, TEM), thermal analysis, additive manufacturing, materials failure analysis, and sustainability in materials engineering • A PhD in materials science, materials engineering, or a closely related physical science field is ideal • Peer-reviewed publications, lab-based testing, product design using advanced materials, or applied research signal fit • Clear, metacognitive communication and ability to “show your work” • Secure computer and high-speed internet for contract work
• As a contractor, supply a secure computer and high-speed internet • Company-sponsored health insurance and PTO do not apply
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