AI Tutor, Statistics Specialist

Employment Type: Contract Location Type: Fully Remote Compensation: $55/hr - $100/hr

Position Overview

As an AI Tutor, Statistics Specialist, you will play a crucial role in shaping the next generation of AI models. You will be responsible for reviewing and enhancing outputs generated by cutting-edge large language models (LLMs). Your expertise in statistics, data analysis, and quantitative reasoning will be essential in ensuring that model outputs are accurate, insightful, and aligned with rigorous academic and applied standards. This role offers a unique blend of technical fluency and high-precision annotation, providing an opportunity to influence how AI understands and communicates statistical concepts.

This is a contract, remote position with variable time commitments. The services provided are supplementary and not integral to Handshake’s primary business operations, being distinct and separate from the core business activities.

Your Role

• Utilize internal tools to evaluate AI-generated responses, with a particular focus on statistical, mathematical, and scientific domains.
• Analyze and improve AI outputs, emphasizing statistical correctness, clarity, and pedagogical relevance.
• Curate, annotate, and refine datasets used for training and fine-tuning LLMs with statistical content.
• Identify edge cases, model limitations, and annotation inconsistencies related to statistical reasoning.
• Collaborate with AI researchers and engineers to iterate on feedback loops and model alignment strategies.

Requirements

• Education: MS or PhD in Statistics, Biostatistics, Applied Mathematics, or a closely related quantitative field.
• Alternatively: 3+ years of experience working as a Statistician, Quantitative Analyst, or Data Scientist in research or applied settings.
• Statistical Expertise: Strong command of inferential statistics, probability theory, statistical modeling, and hypothesis testing.
• Content Experience: Experience reviewing or writing statistical content, especially in an educational or technical setting.
• Communication Skills: Excellent written communication skills, including both technical exposition and explanatory writing.
• Assessment Ability: Ability to independently assess AI responses for statistical rigor and relevance.
• Judgment: Comfortable navigating ambiguity and exercising sound judgment in annotation decisions.

Bonus Areas of Expertise

• Publications or teaching experience in statistics, applied mathematics, or quantitative sciences.
• Experience with statistical programming (e.g., R, Python, Stata, SAS) in academic or industry settings.
• Background in education, tutoring, or curriculum development in quantitative subjects.
• Familiarity with generative AI models or prompt engineering.
• Experience in model evaluation, data labeling, or reinforcement learning from human feedback (RLHF).

Additional Requirements

• Availability to work evenings and weekends as needed.
• Ability to quickly adapt to new skills and evolving requirements.
• Device Requirements: Personal device must support Windows 10 or macOS Big Sur 11.0 or later.
• Smartphone: Reliable access to a smartphone.

Location & Work Expectations

• Fully remote position.
• No visa sponsorship available.
• Hiring Restrictions: Not hiring in Wyoming or Illinois at this time.

About Us

Handshake is building the future of human data for AI. We partner directly with top AI labs to power large language model (LLM) training and evaluation with high-quality, expert-generated data. As AI models become more sophisticated, the demand for specialized human input continues to grow—and Handshake is uniquely positioned to meet it. We power career platforms at 92% of the top U.S. universities.