Remote English AI Trainer & Evaluator - US Native

CNTXT, Inc.; United States; Remote; USD 34,000 - 55,000; Full time

Job summary

CNTXT, Inc. is seeking a fully remote hourly contractor to support AI data and language projects. You will work on prompts, voice samples, data annotation, LLM evaluation, and localization QA for American English content.

The ideal candidate is a native American English speaker with exceptional editorial judgment, strong attention to detail, and the ability to fact-check locale-specific information across time zones.

Qualifications

• Native speakers of American English born and raised in the United States.
• Excellent editorial judgment in register, tone, punctuation, inclusivity, and cultural nuance, with extreme attention to detail.
• Ability to identify meaning drift, ambiguity, locale inconsistencies, and subtle errors, and to explain corrections clearly in writing.
• Ability to rigorously fact-check localized content (units, references, names, dates) using reliable sources and consistent reasoning.
• Ability to identify reasoning gaps, methodological errors, and unclear explanations even when language is fluent.

Responsibilities

• Content generation: writing prompts and model responses or recording voice samples to guide AI learning.
• Data annotation: labeling, classifying, and structuring documents and content for training datasets.
• LLM evaluation: reviewing AI-generated responses for accuracy, reasoning, and cultural/linguistic appropriateness.
• Localization QA: ensuring terminology and locale details are accurate across outputs.

Skills

American English native

Editorial judgment

Attention to detail

Localization QA

Job description

CNTXT, Inc. is seeking a fully remote hourly contractor to support AI data and language projects. You will work on prompts, voice samples, data annotation, LLM evaluation, and localization QA for American English content.

The ideal candidate is a native American English speaker with exceptional editorial judgment, strong attention to detail, and the ability to fact-check locale-specific information across time zones.