U.S. Native English AI Trainer & Evaluator (Remote, Hourly)

About the role

This fully remote, hourly contractor position supports AI data and language projects. You will help improve artificial‑intelligence models by creating content, annotating data, evaluating large‑language‑model outputs, and ensuring localization quality.

Key responsibilities

• Generate high‑quality prompts, model responses, and voice samples across diverse topics.
• Annotate and structure documents, tables, and other content for training datasets.
• Evaluate AI‑generated responses for accuracy, reasoning, coherence, and cultural/linguistic appropriateness.
• Perform localization QA, checking terminology, tone, cultural nuance, and locale‑specific details such as units, references, names, and dates.

Required profile

• Native speaker of American English born and raised in the United States.
• Excellent editorial judgment in register, tone, punctuation, inclusivity, and cultural nuance.
• Ability to spot meaning drift, ambiguity, locale inconsistencies, and subtle errors, and explain corrections clearly in writing.
• Strong fact‑checking skills using reliable sources.
• Capability to identify reasoning gaps and methodological errors even when language is fluent.
• Reliable, self‑directed, and able to deliver consistent quality across time zones.

Required skills

• Familiarity with MQM/LQA concepts (severity, category, root‑cause analysis).
• Experience with QA workflows.
• Previous work in AI data training, annotation, or evaluation.