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Generative AI Data Analyst - California, USA (Remote)
WelocalizeCalifornia, United StatesRemotefull_timeVerifiedPosted 25 Mar 2026
💰 $72,000/yr
About the role
OVERVIEW
We are seeking a Generative AI Analyst to support a high-impact machine learning project. This role focuses on creating high-quality prompts and responses across diverse topics, leading labeling initiatives with internal and external partners, and developing clear guidelines to ensure consistency and accuracy in large language model datasets. The ideal candidate is a strong communicator with native-level U.S. English, experienced in working with data and comfortable training teams on best practices for LLM development. This position is fully remote and suited for someone motivated to work with cutting-edge AI technologies.
Project Details
Job Title: Generative AI Analyst
Location: Remote
Hours: 40 hours weekly
Language: English (US)
Start date: April 2026
Employment Type: Full-time W-2 employee with benefits – 5 days a week
Pay rate: $36/hour Must have valid work authorization in the US (Welo Data does not sponsor VISAs at this time).
Location: Remote
Hours: 40 hours weekly
Language: English (US)
Start date: April 2026
Employment Type: Full-time W-2 employee with benefits – 5 days a week
Pay rate: $36/hour Must have valid work authorization in the US (Welo Data does not sponsor VISAs at this time).
Key Responsibilities
- Creatively writing prompts and responses to a variety of diverse topics
- Leading labeling initiatives with third party firms and internal customers
- Creating and updating detailed guidelines and specifications for stakeholders
- Training teams on best practices for creating Large Language Models/Data sets
Requirements
- English as a first language and excellent written/verbal communication skills
- Self-driven, motivated and enthusiastic to work on state-of-art machine learning tools
- 4 year Accredited College degree or equivalent experience
- College Degree or experience in Linguistics, English Literature, Creative Writing, Journalism, and domain knowledge (Law/Medical/Math/Coding/etc.)
- Deep understanding of Large Language Models/RLHF
- Experience in labeling/tagging of frames/tasks/prompts to prepare for DNN
- QA/testing experience
- Scripting in Python a plus
Ways to stand out from the crowd:
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