Remote Analytics Intern: AI Data & Evaluation

Alpheva; United States; Remote; USD 21,000 - 34,000; Full time

Job summary

Alpheva is seeking a motivated graduate student for a remote internship focused on AI evaluation and data analytics. You will learn to assess AI responses, design evaluation criteria, and work with SQL, Python, and spreadsheets to improve data quality and reproducibility.

You'll gain hands-on experience in building reproducible analyses, communicating findings clearly, and collaborating with a cross-disciplinary team as you contribute to real-world evaluation projects in a fully remote setup.

Qualifications

• Currently enrolled in a master’s or higher degree program in analytics, statistics, computer science, economics, or a related field.
• Foundational spreadsheet, SQL, or Python skills.
• Understanding of basic statistics and how to communicate data clearly.
• Interest in reproducible analysis, careful validation, and learning from feedback.

Responsibilities

• Interact with AI models on data cleaning, exploratory analysis, metric definitions, SQL, spreadsheets, and Python-based tasks.
• Create realistic analytical questions, reference solutions, and explanations that make assumptions and limitations clear.
• Validate AI-generated calculations, code, charts, and conclusions against the underlying data.
• Compare responses, annotate mistakes, and develop evaluation criteria that reward accurate and reproducible analysis.

Skills

Spreadsheet basics

SQL

Python

Education

Master's degree or higher (analytics, statistics, CS, economics)

Job description

Alpheva is seeking a motivated graduate student for a remote internship focused on AI evaluation and data analytics. You will learn to assess AI responses, design evaluation criteria, and work with SQL, Python, and spreadsheets to improve data quality and reproducibility.

You'll gain hands-on experience in building reproducible analyses, communicating findings clearly, and collaborating with a cross-disciplinary team as you contribute to real-world evaluation projects in a fully remote setup.