
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.
🔥 0 minutes ago
🇺🇸 United States – Remote
💵 $6 - $65 / hour
⏳ Contract/Temporary
🟡 Mid-level
🟠 Senior
🤖 Artificial Intelligence
🗣️🇧🇷🇵🇹 Portuguese Required
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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.
• Operate autonomously to design complex evaluation frameworks and provide structured training data. • Role-Play Scenario Execution: Creating and executing complex, role-play-based evaluation scenarios that simulate realistic customer service interactions across travel, finance, and technical support domains. • Model Performance Auditing: Evaluating AI model performance across standardized qualitative and quantitative metrics, focusing strictly on task completion accuracy, conversational naturalness, and audio comprehension. • Technical Metric Evaluation: Assessing the model's basic computer programming literacy, including its understanding of JSON structures, functions, methods, and ability to reason about structured data within a support context. • Representative Dataset Generation: Contributing to the development of diverse, high-quality audio datasets that accurately reflect real customer expectations for clarity, efficiency, and natural conversational flow.
• Demonstrable professional expertise in complex customer support, technical troubleshooting, or conversational AI evaluation. • Native or bilingual proficiency in the target language, including fluency across all language skills (reading, listening, writing, and speaking), alongside strong analytical and verbal communication skills to confidently conduct simulated customer support role-plays. • Basic computer programming literacy, specifically a comfortable understanding of JSON structures, functions, methods, and simple logic. • A meticulous, detail-oriented approach to working with structured prompts, complex evaluation rubrics, and technical guidelines. • Access to a high-quality microphone to ensure clean, reliable audio input during voice evaluations.
• Health insurance and PTO do not apply
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