Build quality-focused NLP pipelines for LawZero’s Scientist AI in Montreal, using Python, model scoring, and high-throughput distributed processing. Work on web-scale data. This senior developer role sits between data curation, engineering, and machine learning. You will transform raw text into training datasets through algorithmic filtering, toxicity removal, privacy scrubbing, benchmark protection, and novel data transformations. Responsibilities may be distributed according to individual experience, skills, and interests while collaborating with Research and other teams. Key Responsibilities:

Design algorithmic filtering and model-based scoring mechanics Refine classifiers, evaluators, heuristics,



and review workflows Protect datasets through leakage detection and compliance controls Optimize processing throughput, cost, versioning, and provenance Translate data requirements into targeted acquisition strategies Requirements:

Five-plus years in data processing, machine learning, or NLP Experience handling trillion-token unstructured text datasets Hands-on Spark, Ray, or Flink pipeline optimization Experience with PII, toxicity, bias, and contamination prevention Solid Python and cross-functional collaboration experience Apply your NLP, data curation, and pipeline engineering skills to rigorous Scientist AI training data at LawZero.

📌 Senior NLP Data Pipeline Developer (Winnipeg)
🏢 LoiZéro
📍 Winnipeg