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E-Solutions is seeking a detail-oriented analyst to help fine-tune large language models. You will read, summarize, and validate content, then craft training scenarios to improve model performance. Strong English comprehension and independent, remote work are essential.
Preferred candidates have 2+ years in QA or data annotation, experience writing professionally, and proficiency with Excel/Google Suite to interpret data and present findings.
In this role, you will be working on projects to help fine-tune large language models (like ChatGPT) using your strong analytical and English comprehension skills. The ideal candidate should have the ability to read, summarize, review and break down large content into smaller logical blocks, conduct research online, validate claims made in content through online research, and work with the LLM (Large Language Models) to solve puzzles! The projects will also help you learn how to leverage AI to be a better analyst. This is your chance to future-proof your career in an AI-first world!
Your role is critical in helping fine-tune and improve large language models (like gpt), and will make you an expert on how to leverage AI to be a better analyst. This is your chance to future-proof your career in an AI-first world!
You would spend time answering a variety of interesting analytical questions and creating scenarios that can train the LLM models to get better. Here are a couple of examples which models might get wrong and you would have to give the correct answer and explanation to enable the models to learn: