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Statistics Specialist – Freelance AI Trainer

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $6 - $65 / hour

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🤖 Artificial Intelligence

Where this job comes from

Posted on Invisible Technologies's careers page, not through a job board

First seen by Remote Rocketship 0 minutes ago

Logo of Invisible Technologies

Invisible Technologies

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.

📋 Description

• Challenge advanced language models on probability, statistical modeling, data analysis, hypothesis testing, regression, multivariate statistics, Bayesian inference, time series, experimental design, and machine learning • Test models on statistical inference, model selection, sampling methods, causal inference, ANOVA, and statistical power • Converse with models on data scenarios and theoretical statistics questions • Verify factual accuracy and logical soundness • Capture reproducible error traces and document failure modes • Suggest improvements to prompt engineering and evaluation metrics • Help create high-quality training data for large-scale language models

🎯 Requirements

• Expertise in probability theory, statistical modeling, data analysis, hypothesis testing, regression analysis, multivariate statistics, Bayesian inference, time series analysis, experimental design, and machine learning algorithms • Ability to work on statistical inference, model selection, sampling methods, causal inference, ANOVA, and statistical power • Master’s or PhD in statistics, data science, mathematics, or a closely related field is ideal • Peer-reviewed publications, applied statistical research, or hands-on experience with large datasets signal fit • Clear, metacognitive communication and ability to “show your work” • Secure computer and high-speed internet • Geographic location may affect the final offer amount

🏖️ Benefits

• Secure computer and high-speed internet supplied by the contractor • Company-sponsored benefits such as health insurance and PTO do not apply

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