Lead Generative AI Analyst

## Lead Generative AI Analyst Apply locations:
CA Client Field Office (San Fran Bay Area):
CA Client Location (SF) time type:
Full time posted on:
Posted Todaytime left to apply:
End Date:
August 31, 2026 (30+ days left to apply) job requisition :
R0007836

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* 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, Data Factory 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.
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