Statistics Specialist – Freelance AI Trainer

Invisible Technologies

. Challenge advanced language models on probability, statistical modeling, data analysis, hypothesis testing, regression, multivariate statistics, Bayesian inference, time series, experimental design, and machine learning .

Posted 11/6/2026contractRemote • United StatesMid-LevelSenior💰 $6 - $65 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in advanced statistical modeling, data analysis, and machine learning, with a strong focus on hypothesis testing, Bayesian inference, and experimental design. Capable of effectively communicating complex statistical concepts and improving model performance through rigorous evaluation and prompt engineering.

Highest-signal resume keywords

Expertise In Probability TheoryStatistical ModelingMachine Learning AlgorithmsMaster's Or PhD In StatisticsPeer-Reviewed Publications

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisHypothesis TestingRegression AnalysisMultivariate StatisticsBayesian InferenceTime Series AnalysisExperimental DesignStatistical InferenceModel SelectionCausal Inference

Soft Skills

Clear CommunicationMetacognitive Communication

Industry Keywords

Statistical PowerANOVALarge DatasetsPrompt EngineeringEvaluation Metrics

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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