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: $27.38/hour
If you reside in California, please apply to the California-specific posting for the applicable rate
Key Responsibilities
- Creatively writing prompts and responses to a variety of diverse topics
- Perform LLM annotation and evaluation tasks (ranking, scoring, labeling, tagging)
- Evaluate model outputs for accuracy, relevance, and instruction-following
- Identify and document issues such as hallucinations and inconsistencies
- Participating in and/or supporting labeling workflows, including hands-on annotation and collaboration with internal or external teams
- Training teams on best practices for creating Large Language Models/Data sets
Requirements
- Hands-on experience performing data annotation or evaluation tasks (e.g., labeling, ranking, scoring, or tagging LLM outputs)
- Native or near-native English with excellent writing skills
- Strong attention to detail and ability to follow guidelines consistently
- 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.)
- Experience working in annotation platforms or structured labeling environments is a plus
- Deep understanding of Large Language Models/RLHF
- Experience in labeling/tagging of frames/tasks/prompts to prepare for DNN
- QA/testing experience
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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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