
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.
🔥 2 minutes ago
🇺🇸 United States – Remote
💵 $6 - $65 / hour
⏳ Contract/Temporary
🟡 Mid-level
🟠 Senior
📊 Data Scientist
👻 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 2 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.
• Converse with advanced language models on project scenarios and theoretical data science questions • Verify factual accuracy and logical soundness of model responses • Capture reproducible error traces • Suggest improvements to prompt engineering and evaluation metrics • Challenge language models across machine learning, statistical modeling, data engineering, data visualization, NLP, time series analysis, deep learning, and algorithm development • Document model failure modes to improve model reasoning
• Data science expertise in machine learning, statistical modeling, data engineering, data visualization, natural language processing, time series analysis, deep learning, and algorithm development • Ability to evaluate supervised learning, unsupervised clustering, regression techniques, model evaluation metrics, feature engineering, anomaly detection, and real-world data pipelines • Ability to document failure modes and capture reproducible error traces • Ability to verify factual accuracy and logical soundness • Clear, metacognitive communication and ability to “show your work” • A master’s or PhD in data science, computer science, statistics, or a closely related field is ideal • Peer-reviewed publications, industry projects, cloud platform experience, or open-source contributions signal fit • Secure computer and high-speed internet for contract work
• Pay range of $6–$65 per hour, with the exact rate determined after evaluating experience, expertise, and geographic location • Contractor supplies a secure computer and high-speed internet • Company-sponsored health insurance and PTO do not apply
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