Hiring.Camp

Lead Generative AI Analyst

Welocalize is

·

Sep 1, 2026

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Location
CA Client Field Office (San Fran Bay Area), United States of America · CA Client Location (SF)
Type
Full-time
Seniority
Lead
Experience
1+ years
Closing date
Today
Source
Workday

Description

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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.

Skills

PythonMachine LearningWorkday

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