<div><div>We need legal experts to help train our AI systems for legal document analysis. This role involves reviewing, categorizing, and annotating legal documents to create training data for our legal AI platform. <br> <br>Responsibilities: <br>• Review and categorize legal documents <br>• Identify key legal concepts and entities <br>• Annotate contracts and legal texts <br>• Ensure accuracy and legal compliance <br>• Provide feedback on AI model outputs <br> <br>Qualifications: <br>• JD from accredited law school <br>• 3+ years practicing law <br>• Experience with contract review <br>• Understanding of legal AI applications <br>• Strong analytical skills</div></div>

Software Engineering

Legal

Data Science

Remote

Rise Data Labs powers the future of AI with 500k+ US-based talent trained to deliver the highest quality data labeling, annotation, and evaluation services. We combine elite human expertise with automation to help teams train, test, and improve AI models faster and more reliably.

From Reinforcement Learning with Human Feedback (RLHF) to large-scale image, video, and text annotation, our vetted workforce provides the human-in-the-loop precision that AI companies need to compete. Unlike offshore click-work, Rise Data Labs delivers context-aware, culturally nuanced annotations that align with the demands of cutting-edge generative AI.

Whether you’re building frontier models, fine-tuning domain-specific LLMs, or running large-scale evals, Rise Data Labs ensures your AI is powered by clean, consistent, and trustworthy training data.

We’re raising the bar for what reliable AI data should look like. Visit risedatalabs.com to learn how we can support your AI development.

Union Square, New York, NY, USA

Rise Data Labs

Legal Document Analysis for AI Training

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