In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

• Clean, preprocess, and structure complex and messy datasets using advanced statistical software (such as R, Python, SAS, or Stata).
• Apply and document basic descriptive and inferential statistical analyses to uncover trends and patterns in real-world data.
• Develop clear and compelling data visualizations to illustrate key findings and support model development.
• Contribute expertise in dataset annotation, labeling, or enrichment to enhance the quality of AI model training datasets.
• Draft concise, well-organized written summaries of methods, analyses, and results for a non-technical audience.
• Collaborate asynchronously with project stakeholders to clarify requirements, resolve ambiguities, and improve deliverables through effective written and verbal communication.
• Continuously identify data quality issues, provide actionable recommendations, and document solutions for handling dirty or incomplete data.

Work arrangement: Fully remote