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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📌 Remote Automation Engineer (Toronto)
🏢 F5 Remote Jobs
📍 Toronto