Lead Generative AI Analyst

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 [[email protected]](mailto:[email protected]) 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](https://www.welocalize.com/security-compliance/privacy-policy/) **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.