Statistics Expert
Math Expert (Contract)
Labelbox
• Remote (United States preferred) Shape the data that powers frontier AI
Quick facts
• Engagement - Hourly, at‑will contractor
• Schedule - Fully remote & asynchronous (min. 15 hrs/week)
• Pay Range (US) - $25 – $100 per hour
• Start Date - Rolling — staffed as projects launch
What You’ll Do
• 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.
About Labelbox
Labelbox builds the data engine that accelerates breakthrough AI. Our platform, expert services, and marketplace let teams iterate on data as nimbly as they iterate on code, enabling safer, smarter models in production. We’re backed by SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins, and trusted by leading research labs and enterprises worldwide.
Ready to Apply?
Click “Apply” above, and take one or more domain specific assessments.
We review candidates on a rolling basis and will contact you if your background matches an active project.
Apply tot his job
Apply To this Job
Labelbox
• Remote (United States preferred) Shape the data that powers frontier AI
Quick facts
• Engagement - Hourly, at‑will contractor
• Schedule - Fully remote & asynchronous (min. 15 hrs/week)
• Pay Range (US) - $25 – $100 per hour
• Start Date - Rolling — staffed as projects launch
What You’ll Do
• 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.
About Labelbox
Labelbox builds the data engine that accelerates breakthrough AI. Our platform, expert services, and marketplace let teams iterate on data as nimbly as they iterate on code, enabling safer, smarter models in production. We’re backed by SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins, and trusted by leading research labs and enterprises worldwide.
Ready to Apply?
Click “Apply” above, and take one or more domain specific assessments.
We review candidates on a rolling basis and will contact you if your background matches an active project.
Apply tot his job
Apply To this Job