Data annotation: Accurately label and categorize statistical expressions, equations, datasets, problems, and related content
Concept mapping: Connect statistical concepts and establish relationships between topics such as probability, distributions, hypothesis testing, regression, and statistical modeling to help AI models understand the underlying structure of statistics
Solution verification: Analyze and provide feedback on AI-generated solutions to statistics and probability problems, identifying errors and offering step-by-step explanations to improve model accuracy
Content development: Contribute to comprehensive training datasets covering a broad range of statistics concepts and difficulty levels
Red teaming: Identify potential biases, inaccuracies, or limitations in the AI’s understanding of statistics and probability. Design tests to ensure AI outputs are robust and practically applicable
You’re a great fit if
You have deep expertise in probability and statistics, demonstrated through research, teaching, or applied problem-solving
You are enrolled in or have completed a Bachelor’s degree or higher from an accredited institution
You have experience building or reviewing complex data, educational, or technical content
You possess native-level proficiency in probability and statistics, and communicate concepts clearly in written English
Bonus: Experience with data labeling, RLHF, or other AI training projects
About the role
Flexible workload — work from anywhere, on your own schedule
High impact — your craft directly improves models used by top AI labs & Fortune 500 teams
Clear ownership — know exactly what success looks like and have autonomy to deliver
Growth potential — consistent high performers spearhead new programs and mentor incoming SMEs
Interview process
Complete a screening with Zara, our AI interviewer in English, to learn more about your background and experience.
Domain-specific Zara interview to assess your understanding of fundamental statistical principles, exploring the underlying mechanisms that govern data analysis and inference.