The Generative AI Analyst will create prompts and responses for machine learning projects, lead labeling initiatives, and provide training on best practices for LLM datasets.
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
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:
Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.
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In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.
As a trusted global transformation partner, 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 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
Top Skills
Large Language Models
Machine Learning
Python
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