Remote Quant Intern — AI Data & Model Evaluation

Alpheva; United States; Remote; USD 28,000 - 41,000; Part time

Job summary

Alpheva is seeking a remote internship inviting a master's or higher student in math, stats, CS, or quantitative fields to work with AI systems on probability, statistics, and data-driven research tasks.

You will evaluate AI outputs, craft reproducible examples, and help improve model reasoning by checking calculations, backtesting logic, and data quality, all while learning how domain expertise guides post-training evaluation.

Qualifications

• Currently enrolled in a master's or higher degree program in mathematics, statistics, computer science, quantitative finance, or a related field.
• Foundational knowledge of probability, statistics, and linear algebra.
• Comfort with Python and data-analysis libraries, or a comparable research programming language.
• Ability to explain assumptions, reproduce calculations, and assess limitations honestly.

Responsibilities

• Interact with AI models on probability, statistics, quantitative modeling, time-series analysis, and research programming tasks.
• Create challenging quantitative problems, reference solutions, and reproducible worked examples.
• Check AI-generated mathematics and code, test assumptions, and identify data leakage, overfitting, or flawed backtesting logic.
• Compare and annotate model responses, explain errors clearly, and document the reasoning behind a high-quality solution.

Skills

Probability

Statistics

Linear Algebra

Pandas/NumPy

Research programming

Education

Master's or higher degree

Tools

Python

Jupyter

Job description

Alpheva is seeking a remote internship inviting a master's or higher student in math, stats, CS, or quantitative fields to work with AI systems on probability, statistics, and data-driven research tasks.

You will evaluate AI outputs, craft reproducible examples, and help improve model reasoning by checking calculations, backtesting logic, and data quality, all while learning how domain expertise guides post-training evaluation.