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.
To know more details (Click here)
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
Similar Jobs
Artificial Intelligence • Information Technology • Machine Learning • Natural Language Processing • Productivity • Software • Generative AI
The Senior Procurement Specialist will manage the end-to-end procurement lifecycle, negotiate contracts, improve processes, and enhance vendor relationship management while leveraging AI tools.
Top Skills:
Ai ToolsContract Management SystemsProcurement Tools
Artificial Intelligence • Fintech • Information Technology • Logistics • Payments • Business Intelligence • Generative AI
The Senior Product Strategist at Coupa defines and drives product strategy, ensuring alignment between market opportunities, customer needs, and product roadmap priorities. This role requires collaboration with various teams to translate strategy into execution, focusing on long-term priorities and the integration of product strategy with pricing and packaging models.
Top Skills:
ProcurementProduct ManagementSaaSSourcingSpend Management
.png){kind=logo}
AdTech • Cloud • Digital Media • Information Technology • News + Entertainment • App development
Lead DevOps initiatives to enhance cloud applications' efficiency and scalability. Manage CI/CD pipelines, implement AWS solutions, and mentor engineers.
Top Skills:
AWSAws CodepipelineCloudFormationCloudwatchDatadogDockerElk StackGitlab Ci/CdGrafanaJenkinsKubernetesPrometheusSplunkTerraform
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
