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 software
Prototype and validate AI models for feasibility
Measure model performance against customer acceptance criteria
Collaborate with linguists and localization experts
Create prompt guidelines and training materials
Requirements: Two years in prompt engineering, LLM fine tuning, or AI/ML
Solid Python for NLU, processing, transformation, and analysis
Deep understanding of transformer based LLM architectures
Experience automating data annotation workflows
Familiarity with Labelbox, cloud platforms, and deployment
Apply prompt engineering, Python, and LLM evaluation expertise to scalable annotation and localization solutions at Innodata.

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📌 Prompt Engineer LLM Automation (New Brunswick)
🏢 F5 Remote Jobs
📍 New Brunswick