Design LLM prompt strategies remotely from Canada, using Python and evaluation metrics to improve data annotation accuracy and localization quality.Innodata Inc. is building a Prompt Engineer team to automate and optimize annotation and human evaluation workflows. You will translate business requirements into scalable AI solutions with Product, Data Science, Operations, and client stakeholders. The work focuses on reliable, culturally aligned outputs.Key Responsibilities:Design prompts for data labeling and localization softwarePrototype and validate AI models for feasibilityMeasure model performance against customer acceptance criteriaCollaborate with linguists and localization expertsCreate prompt guidelines and training materialsRequirements:Two years in prompt engineering, LLM fine tuning, or AI/MLStrong Python for NLU, processing, transformation, and analysisDeep understanding of transformer based LLM architecturesExperience automating data annotation workflowsFamiliarity with Labelbox, cloud platforms, and deploymentApply prompt engineering, Python, and LLM evaluation expertise to scalable annotation and localization solutions at Innodata.

📌 Prompt Engineer Llm Automation (Quebec City)
🏢 F5 Remote Jobs
📍 Quebec City