Job Description

Role Overview

Apply statistical expertise to help train next-generation AI systems through high-quality, real-world data analysis, documentation, and dataset enrichment. This remote contract role supports a customer project focused on data-driven solutions. Prior AI experience is not required.

Key Responsibilities

• Clean, preprocess, and structure complex, messy datasets using R, Python, SAS, Stata, or similar advanced statistical software.
• Conduct and document descriptive and inferential analyses to identify trends and patterns in real-world data.
• Create clear data visualizations that communicate key findings and support model development.
• Contribute to dataset annotation, labeling, and enrichment to improve AI training-data quality.
• Write concise, organized summaries of methods, analyses, and results for non-technical audiences.
• Collaborate asynchronously with project stakeholders to clarify requirements, resolve ambiguities, and improve deliverables through written and verbal communication.
• Identify data-quality issues, recommend practical solutions, and document approaches for incomplete or dirty data.

Qualifications

• Advanced degree, MS or PhD, in Statistics, Data Science, Mathematics, Biostatistics, or a related quantitative discipline preferred.
• Experience cleaning and preparing complex, messy datasets.
• Knowledge of descriptive and inferential statistics, including hypothesis testing and regression analysis.
• Strong Python or R skills for statistical analysis, data manipulation, and visualization.
• Experience with large, unstructured, or noisy datasets across varied domains.
• Ability to explain complex findings clearly to technical and non-technical audiences.
• Excellent written and verbal communication skills, including detailed documentation and remote collaboration.

Work Terms

• Remote contract engagement.

Compensation

• $60 to $120 per hour.

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