AI Engineering Intern

Summary

Join Pearl Talent as an AI Engineering Intern and contribute to building intelligent workflows for contracts and business documents. This part-time, fully remote internship offers a unique opportunity to gain hands-on experience deploying AI in real products, working with cutting-edge technologies like AWS services (Bedrock, Textract, Lambda, and S3), and building production-ready systems. You will develop AI pipelines to extract structured data from PDFs, integrate pre-trained/custom models, implement OCR and computer vision techniques, and create RESTful APIs. Furthermore, you will build and integrate React-based UIs, enhance PDF viewing capabilities, and implement user interactions. The internship provides mentorship from industry experts and founders, growth opportunities, and a potential path to a full-time role. This role is ideal for students passionate about AI and the legal tech industry, located in the Philippines or LatAm, and able to work overlapping US time zone hours.

Requirements

• Pursuing a degree in CS, AI/ML, or Data Science
• Relevant coursework or projects in ML, CV, or NLP
• Independent, curious, and driven to solve hard problems
• Eager to learn and comfortable in fast-paced startup environments
• Detail-oriented and committed to shipping high-quality code
• Proficiency in Python (for ML/AI) and JavaScript/TypeScript
• Experience with ML frameworks (TensorFlow or PyTorch)
• Familiarity with AWS services (Textract, Bedrock, Lambda, S3)
• Experience with React and RESTful APIs
• Strong problem-solving and debugging skills
• Git proficiency and collaborative workflows

Responsibilities

• Develop AI pipelines to extract structured data from PDFs using ML models
• Integrate pre-trained/custom models for field detection, layout analysis, and document parsing
• Implement OCR and computer vision techniques for layout detection and field recognition
• Create and maintain RESTful APIs for AI services using .NET and AWS Lambda
• Build and integrate React-based UIs that visualize AI outputs
• Enhance PDF viewing with field highlighting, annotations, and feedback indicators
• Implement user interactions and real-time processing updates
• Work with AWS services like Bedrock, Textract, Lambda, and S3
• Optimize inference pipelines and API responsiveness
• Implement testing and monitoring strategies for AI components

Preferred Qualifications

• Experience with document processing libraries (e.g. pdfplumber, pdf-lib)
• OCR and CV tools (Tesseract, OpenCV, LayoutLM)
• NLP/text extraction experience
• Familiarity with SQL/NoSQL databases and .NET (C#)
• Docker and testing tools for ML systems

Benefits

• Up to $700/month
• Remote Work: Work from anywhere with flexible hours
• Mentorship: Direct access to industry experts and founders
• Growth Opportunities: Real ownership over AI features in production
• Learning & Development: Build full-stack skills across AI, backend, and frontend
• Path to Full-Time: High performers may receive full-time offers