Leads technical and writing teams delivering generative AI products. Coordinates customers, data, product, and research teams; tracks annotator metrics; creates prompts and responses; manages labeling initiatives; develops guidelines; trains stakeholders on LLM and dataset best practices; and supports quality assurance while handling potentially sensitive content.
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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, 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.
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