Invisible Technologies
201 - 500 employees
Founded 2015
🤖 Artificial Intelligence
☁️ SaaS
🏢 Enterprise
🔥 Funding within the last year
💰 $100M Series unknown on 2025-10
Artificial Intelligence • SaaS • Enterprise
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.
SWE Infrastructure Specialist – Freelance AI Trainer Project
Job not on LinkedIn
🕒 March 20
🌏 Anywhere in the World
💵 $80 - $150 / hour
⏳ Contract/Temporary
🟡 Mid-level
🟠 Senior
👷 Infrastructure Engineer
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Invisible Technologies
201 - 500 employees
Founded 2015
🤖 Artificial Intelligence
☁️ SaaS
🏢 Enterprise
🔥 Funding within the last year
💰 $100M Series unknown on 2025-10
Artificial Intelligence • SaaS • Enterprise
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.
📋 Description
• Engage the model on Java-centric infrastructure and platform engineering tasks • Verify architectural decisions related to concurrency, latency, throughput, and resource utilization • Assess infrastructure and application-level testing strategies • Analyze deployment and reliability risks • Capture reproducible failure modes • Provide structured feedback to improve model evaluation and reasoning frameworks
🎯 Requirements
• bachelor’s, master’s, or PhD in computer science, software engineering, or a related technical discipline preferred • Hands-on experience with enterprise Java systems • cloud infrastructure • platform engineering • SRE- and DevOps-adjacent roles highly valued • Strong written communication • Ability to clearly explain system behavior and design decisions essential
🏖️ Benefits
• company-sponsored benefits do not apply
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