Analytics Intern

Work directly with AI systems to create high-quality analytics data and teach models what careful, reproducible analysis looks like. Apply your graduate-level analytical skills while learning how evaluation examples and human feedback support AI post-training.

What you'll do

• 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.

What you'll learn

• Learn how domain-specific examples and human feedback are used to support AI post-training.
• Gain practical experience evaluating AI responses, applying annotation guidelines, and checking dataset quality.
• See how factual accuracy, clear reasoning, and consistent feedback help teams assess and improve AI model behavior.
• Build experience at the intersection of your academic field and applied AI through project work and feedback.

Work arrangement

• Remote internship
• Collaborate with the team on scoped AI data and evaluation projects

Project scope, schedule, tools, and expectations will be discussed during the application process. Use only approved materials; do not share confidential employer, client, or university research data.

Requirements

• 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.

Alpheva is a new expert network (launched September 2026); payout methods are not published yet, so confirm your first payment before scaling up.