Offer summary

Qualifications:

MS or PhD in Statistics, Biostatistics, Applied Mathematics, or a related field, or 3+ years of relevant experience., Strong command of inferential statistics, probability theory, and statistical modeling., Excellent written communication skills for technical and explanatory writing., Experience with statistical programming languages such as R, Python, or SAS is a plus..

Key responsibilities:

Evaluate AI-generated responses in statistical and scientific domains using internal tools.

Analyze and enhance AI outputs for statistical correctness and clarity.

Curate and refine datasets for training LLMs with statistical content.

Collaborate with AI researchers to improve model alignment and feedback processes.

Job description

Everyone is welcome at Handshake. We know diverse teams build better products and we are committed to creating an inclusive culture built on a foundation of respect for all individuals. We strongly encourage candidates from non-traditional backgrounds, historically marginalized or underrepresented groups to apply.

Your impact

As an AI Tutor, Statistics Specialist, you will help shape the next generation of AI models by reviewing and enhancing outputs generated by cutting-edge large language models (LLMs). Your expertise in statistics, data analysis, and quantitative reasoning will ensure that model outputs are accurate, insightful, and aligned with rigorous academic and applied standards. This role blends technical fluency with high-precision annotation and offers the opportunity to influence how AI understands and communicates statistical concepts.

This is a contract remote position with variable time commitments. The services to be provided by the Contractor under this agreement are supplementary and not integral to the Handshake’s primary business operations. The Contractor’s services are distinct and separate from the core business activities of Handshake.

Your role

Use internal tools to evaluate AI-generated responses, especially in statistical, mathematical, and scientific domains.
Analyze and improve AI outputs with a focus on statistical correctness, clarity, and pedagogical relevance.
Curate, annotate, and refine datasets used in 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.

Your experience

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.
Strong command of inferential statistics, probability theory, statistical modeling, and hypothesis testing.
Experience reviewing or writing statistical content, especially in an educational or technical setting.
Excellent written communication skills—both technical exposition and explanatory writing.
Ability to independently assess AI responses for statistical rigor and relevance.
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.
Personal device must support Windows 10 or macOS Big Sur 11.0 or later.
Reliable access to a smartphone.

Location & Work Expectations

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

Compensation range

$40/hr - $70/hr

For cash compensation, we set standard ranges for all U.S.-based roles based on function, level, and geographic location, benchmarked against similar stage growth companies. In order to be compliant with local legislation, as well as to provide greater transparency to candidates, we share salary ranges on all job postings regardless of desired hiring location. Final offer amounts are determined by multiple factors, including geographic location as well as candidate experience and expertise, and may vary from the amounts listed above.

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, giving us direct access to verified expert talent across a wide range of domains.

Our AI team is rapidly building a new generation of human data products—from expert annotation platforms to AI interviewers and seamless payout infrastructure—all designed to accelerate research and improve model performance.

We’ve assembled a world-class team from YC, Notion, Scale, Coinbase, Palantir, and more, and we’re working directly with many of the world’s leading AI research labs. This is a unique opportunity to join a fast-growing team shaping the future of AI through better data, better tools, and better systems—for experts, by experts.

Handshake is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or reasonable accommodation, please let your recruiter know during initial communications.

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