Generative AI Analyst

Posted Yesterday
45 Locations
In-Office or Remote
Entry level
Machine Learning • Natural Language Processing
The Role
Develop and maintain prompts, responses, and datasets for large language models. Lead labeling initiatives with internal teams and third-party firms, create stakeholder guidelines, and train teams on LLM and dataset development best practices. The role requires native-level English, bilingual proficiency in an additional language, specialized domain knowledge, and a college degree or equivalent experience.
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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 Required

  • Native-level English proficiency with excellent written and verbal communication skills
  • Bilingual proficiency in Korean, Japanese, Mandarin, Spanish, German, or French
  • Self-driven, motivated, and enthusiastic about working on machine learning tools
  • Domain knowledge in a specialized field such as Finance or STEM
  • Four-year accredited college degree or equivalent experience
  • College degree or experience in Linguistics, English Literature, Creative Writing, Journalism, Law, Medicine, Mathematics, Coding, or a relevant domain
  • Strong understanding of large language models and reinforcement learning from human feedback
  • Experience labeling and tagging prompts or tasks for deep neural networks
  • Quality assurance or testing experience
  • Basic Python scripting skills
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The Company
HQ: New York, NY
2,331 Employees
Year Founded: 1997

What We Do

Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 250,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our people work across offices in North America, Europe, and Asia serving our global clients in the markets that matter to them. • Global team of 2,100+ • Offices in North America, Europe and Asia • Quality Certifications: ISO 9001:2015, ISO/IEC 27001:2013, ISO 17100:2015, ISO 13485:2016, ISO 18587:2017 • Accredited professional translators and interpreters for 250+ languages www.welocalize.com

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