Prompt Engineer (LLM Automation for Data Labeling & Localization)
Tasks
- Analyze model performance with KPIs and metrics
- Collaborate with cross-functional teams
- Communicate technical findings to stakeholders
- Conduct user testing and feedback analysis
- Create guidelines and training materials for prompt usage
- Design prompts for data labeling and localization
- Develop and implement LLM automation workflows
- Integrate LLMs into data pipelines and automated systems
- Prototype and validate AI models
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | Automation | Best practices | Bias Assessment | Cloud Platforms | Containerization | Data Annotation | Data Modeling | Data Pipelines | Diversity equity and inclusion | Equity and Inclusion | Hugging Face | Human-in-the-loop | JSON | JavaScript | Jupyter | KPI metrics | LLM Evaluation | Language Models | Language Processing | Large Language Models | Localization | Localization best practices | Machine Learning | Model Deployment | Natural Language | Natural Language Processing | OpenAI | PyTorch | Python | Statistical Analysis | TensorFlow | Transformer | XML
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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