English AI Trainer & Evaluator

CNTXT, Inc.; United States; Remote; USD 34.000 - 55.000; Vollzeit

Zusammenfassung

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.

Qualifikationen

• 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.

Aufgaben

• 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.

Kenntnisse

American English native

Editorial judgment

Attention to detail

Localization QA

Jobbeschreibung

This is a fully remote, hourly contractor role supporting AI data and language projects on a project-based, flexible hour basis.

Project scopes vary and may include:

• Content generation: writing high-quality prompts and model responses, or recording high-quality voice samples, to guide AI learning across diverse topics.
• Data annotation: labeling, classifying, and structuring documents, tables, and other content to support AI training datasets.
• LLM evaluation: reviewing AI-generated responses for accuracy, reasoning quality, coherence, and cultural/linguistic appropriateness.
• Localization QA: ensuring terminology, tone, cultural nuance, and locale-specific details (units, references, names, dates) are consistently accurate across outputs.

This position exclusively seeks native speakers of American English born and raised in the United States.

Profile Requirements

• 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.
• Reliable, self-directed, and able to deliver consistent quality with clear communication and responsiveness across time zones.

Preferred Experience

• Familiarity with MQM/LQA concepts (severity, category, and root-cause thinking) for consistent quality decisions.
• Familiarity with QA workflows.
• Previous experience with AI data training, annotation, or evaluation.

About CNTXT

AICNTXT AI builds artificial intelligence products and data solutions with a focus on making AI accurate, safe, and globally relevant for impact. Our work spans data services, custom AI solutions, and proprietary AI products, with deep expertise in Arabic-native and secure, sovereign solutions.