Lead Generative AI Analyst

About the role

If you have a Candidate Login already, but have forgotten your password please use the steps to reset your password. If you have forgotten your email login, please contact  subject Workday Candidate Login When creating your Workday account and entering personal information like name, address, please do not use ALL CAPS. Thank you! NOTICE:   For Privacy Policy please review here Job Responsibilities: The Lead Generative AI Analyst plays a pivotal role in leading technical and writing teams to deliver NEMO products. This position also involves customer-facing responsibilities, ensuring world-class quality through tracking metrics, labeling initiatives, and training stakeholders. Exposure to potentially sensitive content may be required. Responsibilities: Lead technical and writing teams to deliver NEMO products. Act as the liaison between customers, DataFactory teams, product teams, and research teams. Track annotator metrics to ensure top-quality deliverables. Write creative prompts and responses across diverse topics. Manage labeling initiatives with third-party firms and internal customers. Develop and update detailed guidelines and specifications for stakeholders. Train teams on best practices for creating large language models and datasets. Handle potentially toxic or offensive content as required (e.g., sexually explicit, graphic, or disturbing material). Additional Job Details: Requirements: Proven track record of delivering quality products on time. Native-level English proficiency with excellent written and verbal communication skills. Self-driven, motivated, and enthusiastic about working on state-of-the-art machine learning tools. Domain knowledge in specialized fields (e.g., Law, Gardening, Biology, US History, Academic Engineering). 4-year accredited college degree or equivalent experience. Ways to Stand Out: Over 1 year of experience delivering products in the LLM space. College degree or experience in Linguistics, English Literature, Creative Writing, Journalism, STEM, or relevant domain knowledge. Deep understanding of large language models and RLHF. Experience in labeling and tagging frames/tasks/prompts for DNN preparation. QA/testing experience. Python scripting skills are a plus.