Language Prompt Engineer

Responsibilities:

• Train, test, and fine-tune Large Language Models (LLMs) for diverse localization tasks. This includes ensuring file integrity, verifying content consistency, performing translations, checking adherence to terminology and style guides, enhancing Neural Machine Translation (NMT) output quality, and integrating stakeholder feedback into translated content.
• Integrate LLM solutions into existing content management and localization workflows and platforms, ensuring seamless interoperability between tools and technologies.
• Collaborate with linguists and localization experts to ensure models are contextually and culturally appropriate for target audiences.
• Coordinate with dataset owners to effectively leverage large datasets for model training and validation processes.
• Optimize and fine-tune LLM model performance for high accuracy, legal compliance, and operational efficiency.
• Participate in establishing key metrics and benchmarks for evaluating LLM solution performance.
• Implement feedback loops to drive continuous improvement in model accuracy and output quality.
• Conduct regular audits and updates to maintain model currency and effectiveness.

Qualifications:

Experience: 0-4 Years