AI Data Annotator (Data Analysis)

Outlier is a platform owned and operated by Scale AI and believes AI can only perform as well as the data it’s trained on. That’s why we work with contributors from all over the world, who help improve AI models by providing expert human feedback. This data has led to AI advancements for the world's leading AI labs and large language model builders.

We’ve built a best-in-class remote work platform for our freelance contributors to provide valuable, specialized skills, and we in turn strive to provide them with a positive experience based on our core pillars of reliability, transparency, and flexibility.

What you will be doing

• We are looking for exceptional analysts to help train generative AI models.
• Finding and sourcing open datasets relevant to business and research questions.
• Cleaning, transforming, and preparing data for analysis and modeling.
• Building statistical or forecasting models to extract meaningful insights.
• Communicating findings clearly, highlighting implications and recommendations beyond simple descriptive reporting.

What we’re looking for

• A Bachelor’s degree or higher in a quantitative, technical, or business discipline (e.g., Statistics, Mathematics, Data Science, Operations Research, Computer Science, Engineering, Economics, Finance, or related field)
• 2+ years of professional experience in an analyst, consultant, or research role involving quantitative analysis, modeling, or forecasting
• Demonstrated experience working with datasets end-to-end — sourcing, cleaning, analyzing, and generating actionable insights
• Proficiency with tools for data analysis (e.g., Python, R, SQL, or similar) and comfort with visualization methods to communicate findings
• Strong problem-solving skills, attention to detail, and the ability to clearly explain analytical results to a non-technical audience