Job Summary
A company is looking for a Multi Modal Language Engineer (Gen AI).
Key Responsibilities
- Support the curation of high-quality training and evaluation artifacts for Generative AI models with a focus on multi-modal data
- Create and maintain human-in-the-loop annotation tasks to deliver high-quality data for fine-tuning and evaluating LLMs, VLMs, and MLLMs
- Develop scalable quality assurance strategies for data processing and mitigate biases
Required Qualifications
- Experience with multi-modal data such as text, audio, images, and video
- Proficiency in scripting with Python and/or R for LLM integration and data processing
- Knowledge of data collection and processing methods to enhance robustness
- Experience working on dynamic projects with multiple stakeholders
- Ability to create and iterate guidelines for annotation tasks
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