Hiring.Camp

Generative AI Analyst

Welocalize is

·

Yesterday

Location
California (Bay Area), United States of America · Home Office (Michigan) · Home office (North Dakota) · Home Office (Indiana) · Home office (Nebraska) · Home office (Mississippi) · Home office (Louisiana) · Jupiter · Home Office (Missouri) · Home Office (Nevada) · Home office (West Virginia) · Home office (Hawaii) · Home office (Kentucky) · Home Office (Burlingame) · TX Field Office - Houston · Home Office (Kansas) · Home Office (Iowa) · Home Office (Belmont) · Home Office (Oklahoma) · MA Field Office · Home Office (Idaho) · Home Office (Arkansas) · VLCM · Home office (American Samoa) · US (remote) · Home office (Alaska) · Los Angeles · North Carolina - Remote · Home office (New Jersey) · Home office (Colorado) · Montana (remote) · Rhode Island (remote) · CA Client Field Office (San Fran Bay Area) · San Francisco CA Bay Area · Home Office (CA Los Angeles) · Home Office (Alabama) · Houston, Texas · Portland, Oregon · Home Office (DC) · Home Office (New Hampshire) · New York, New York · CA Client Location (SF) · Frederick, Maryland · Boston, Massachusetts · Chicago, Illinois · California (Bay Area) · Austin, Texas · PDX Testing Lab · Home Office (South Carolina) · Home Office (South Dakota) · Home Office (Tennessee)
Workplace
Remote
Type
Full-time
Closing date
Today
Source
Workday

Description

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Job Responsibilities:

The Generative AI Analyst role focuses on creatively developing and maintaining prompts, responses, and datasets to support cutting-edge machine learning tools and large language models (LLMs). This position involves collaboration with internal teams and third-party firms, contributing to labeling initiatives, and training teams on best practices for LLM development.

Responsibilities:

  • Creatively write prompts and responses across a diverse range of topics.
  • Lead 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.

Additional Job Details:

Requirements:

  • Native-level English proficiency with excellent written and verbal communication skills.
  • Bilingual proficiency in one or more of the following languages: Korean, Japanese, Mandarin, Spanish, German, or French.
  • Self-driven, motivated, and enthusiastic about working on state-of-the-art machine learning tools.
  • Domain knowledge in any specialized field (e.g., Finance, STEM).
  • 4-year accredited college degree or equivalent experience.

Ways to Stand Out:

  • College degree or experience in Linguistics, English Literature, Creative Writing, Journalism, or relevant domain knowledge (e.g., Law, Medical, Math, Coding).
  • Strong understanding of large language models and reinforcement learning from human feedback (RLHF).
  • Experience in labeling and tagging prompts/tasks for deep neural networks (DNN).
  • QA/testing experience.
  • Basic Python scripting skills.

Skills

PythonMachine LearningWorkday

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