1. Role Overview
Mercor is partnering with a leading AI research organization to engage professionals with advanced expertise in Statistics. As an AI Tutor – Statistics Specialist, you will play a pivotal role in training next-generation AI systems to reason accurately about statistical concepts, methodologies, and data analysis. This is a full-time opportunity for experts who are passionate about advancing statistical reasoning within cutting-edge AI technologies.
You’ll collaborate closely with technical and research teams to develop and refine data annotation frameworks, design challenging statistical problems, and provide detailed, high-quality feedback that enhances model understanding. Your expertise will directly shape how advanced AI systems engage with complex statistical reasoning—from probability theory and inferential methods to Bayesian modeling and experimental design.
2. Key Responsibilities
- Use proprietary software to annotate and evaluate statistical data, equations, and model outputs
- Design and select challenging statistical problems in areas such as probability theory, regression modeling, stochastic processes, and Bayesian inference
- Collaborate with technical teams to refine annotation tools and workflows for higher accuracy and efficiency
- Analyze and critique AI-generated statistical reasoning to improve clarity, correctness, and interpretability
- Choose problems from statistical domains that align with your expertise, focusing on areas such as probability theory, inferential statistics, regression modeling, multivariate analysis, stochastic processes, Bayesian methods, experimental design, and data-driven applications where you can confidently provide detailed solutions and evaluate model responses
- Ensure the highest standard of data quality and maintain consistency across diverse tasks and formats, including text, voice, and video
3. Ideal Qualifications
- Master’s or PhD in Statistics, or Mathematics with a strong focus on probability or applied statistics
- Exceptional command of English, both written and verbal
- Proven ability to analyze complex data and apply sound statistical judgment
- Strong research and reasoning skills with excellent attention to detail
- Ability to work independently while managing evolving and complex instructions
- Deep curiosity about AI, data-driven technologies, and the role of statistical methods in intelligent systems
4. Preferred Background
- PhD in Statistics or a closely related quantitative field
- Peer-reviewed publications in statistics, probability, or applied modeling
- Previous teaching or tutoring experience in university-level statistics or mathematics
- Prior involvement in AI training, data labeling, or model evaluation
5. Work Environment and Schedule
- Location: Palo Alto, CA (in-office five days per week) or fully remote
- The Palo Alto role is in-office five days per week; remote roles require strong self-motivation and reliability
- U.S.-based applicants must reside outside of Wyoming and Illinois
- Visa sponsorship is not available
- Schedule: 9:00am–5:30pm PST for the first two weeks of training, then 9:00am–5:30pm in your local timezone
- For those working from personal devices, your computer must be a Chromebook, Mac (macOS 11+), or Windows 10+ device, and you must have reliable smartphone access
6. Compensation and Benefits
- Competitive pay ranging from $90,000 to $200,000 annually for U.S.-based professionals, depending on experience and location
- For international candidates, our recruiting team will provide an estimated pay range based on your location
- Comprehensive medical benefits for all full-time employees
- Opportunity to work on a high-impact team shaping how AI systems reason about quantitative and scientific domains
- Collaborate with world-class researchers dedicated to building transparent, accurate, and reliable AI technologies
- Contribute to foundational research that pushes the boundaries of statistical learning and AI reasoning
7. Application Process
- Submit your resume to get started
- Complete a 20-minute interview focused on your experience and expertise
- Successful candidates will advance to additional rounds and meet the team
- The full process typically takes about one week
8. About Mercor
Mercor is based in San Francisco, CA and specializes in recruiting experts for top AI labs. Our investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey.
We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
