
201 - 500 employees
Founded 2015
💼 Consulting
🏥 Healthcare
📦 Logistics
🔥 Funding within the last year
💰 $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.
🔥 29 minutes ago
🌏 Anywhere in the World
💵 $70 - $100 / hour
⏳ Contract/Temporary
🟡 Mid-level
🟠 Senior
🤖 Machine Learning Engineer
👻 Ghost score 0%
PyTorch
Tensorflow
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201 - 500 employees
Founded 2015
💼 Consulting
🏥 Healthcare
📦 Logistics
🔥 Funding within the last year
💰 $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.
• Assess whether machine learning tasks are technically accurate, realistic, solvable, reproducible, and supported by reliable tests and evaluation criteria • Provide clear, actionable feedback on data pipeline flaws, model training inefficiencies, and algorithmic logic errors within tasks • Audit tasks used to train and evaluate AI systems to ensure technical rigor, practicality, and accuracy
• Demonstrable professional experience and deep technical knowledge in Machine Learning • Experience with model development, data preprocessing pipelines, and ML frameworks such as PyTorch or TensorFlow • Strong analytical and problem-solving skills • Ability to rigorously test, troubleshoot, and evaluate complex technical scenarios • Candidates will be considered for one specialty based on their experience; expertise across other domains is not required
• None offered; company-sponsored health insurance and PTO do not apply to contractors • Contractor supplies a secure computer • Contractor supplies high-speed internet
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