Noetica Analyst Apprenticeship Program

Overview

About Noetica

Noetica is solving critical Natural Language Processing problems at the heart of the trillion-dollar capital markets ecosystem with an in-house machine learning platform and decades of Machine Learning PhD expertise. Founded in 2022 and based in New York, our high-caliber team is dedicated to bringing innovation and efficiency to legal and financial industries.

We count many of the top law firms in the world among our customers.

To date we have raised ~$30M with our last round (Series A) led by Lightspeed. We’re fortunate to have been featured in Wall Street Journal, Bloomberg, and American Banker, amongst others, and named a top AI company 2024 and 2025 by Business Insider, CB Insights, and others.
The Opportunity

The global capital markets are among the largest markets in the world valued at $50T+ and growing. Transactions in these markets are complex. Critical, nuanced legal terms are woven into lengthy documents. These documents must be digested and analyzed by many different parties over the course of a single transaction and multiple decisions are made based on the terms laid out and quantitative and qualitative attributes within. This fundamental need plus a booming market drives enormous demand for precise extraction and benchmarking of legal terms.
Why We Need You

As a Part-Time Credit Analyst at Noetica, you’ll play a critical role in our product function by reviewing AI model outputs and extracting valuable data from corporate credit documents. Our platform uses sophisticated machine learning to process complex legal language, and your expertise will help ensure accuracy and drive product improvements. You’ll work alongside a talented team of Machine Learning PhDs, engineers, and legal subject matter experts, contributing directly to how we deliver insights to the world’s top law firms and financial institutions. No prior corporate debt documentation experience is required—we provide comprehensive 1:1 training that will prepare you for success in transactional legal work.
What You’ll Be Doing

As a Part-Time Credit Analyst, your responsibilities will include:
• AI Model Review: Validate and assess the accuracy of our machine learning model outputs to ensure precision and quality
• Data Extraction: Analyze and extract document-level data from complex corporate credit agreements
• Product Feedback: Provide insights on model performance to help refine and improve our AI systems
• Credit Documentation Analysis: Learn to identify and understand critical terms, provisions, and negotiation dynamics in credit documentation
• Quality Assurance: Contribute to the continuous improvement of our platform through expert human review and analysis

You Need These Qualifications
• Currently enrolled as a 2L or 3L law student
• Strong attention to detail and analytical thinking
• Excellent reading comprehension and ability to parse complex legal language
• Self-starting approach with intellectual curiosity and bias toward action
• Strong communication and collaboration skills
• Ability to work independently and manage time effectively alongside law school commitments

It Would Be Nice If
• You have an interest in transactional work, capital markets, or corporate law
• You’re planning to pursue a career in finance, corporate law, or related fields
• You thrive in fast-paced, high-impact environments where you can learn quickly
• You’re curious about how AI and machine learning are transforming legal industries

What You’ll Gain

This role offers an exceptional training ground for law students interested in transactional work:
• World-Class Training: 1:1 attention and comprehensive instruction on all aspects of credit documentation and related negotiation—perfect preparation for transactional practice
• Impressive Track Record: Our previous cohort of part-time credit analysts included 2Ls and 3Ls who went on to join Wachtell, Skadden, Paul Weiss, Kirkland & Ellis, and Cravath
• Deep Credit Expertise: Exposure to and understanding of complex credit agreements and corporate debt structures
• Startup Experience: Get a taste of life at an early-stage, venture-backed technology company
• Flexible Compensation: Competitive monthly stipend for part-time work that accommodates your law school schedule

Benefits
• Fully Remote
• Flexible hours to accommodate law school commitments
• Mentorship from experienced professionals in finance and technology

Equal Opportunity Employment

We are an equal opportunity employer. We search for amazing people of diverse backgrounds, experiences, abilities, and perspectives. We take care of each other to create an inclusive work environment where we love to come to work every day. We’d be happy to provide reasonable accommodations to help you apply—just email us at . We hope you can join us.

Company:

Noetica

Qualifications:

Language requirements:

Specific requirements:

Educational level:

Level of experience (years):

Senior (5+ years of experience)

Tagged as: Canada, Industry, Machine Learning, Natural Language Processing, NLP, Parsing