English AI Trainer & Evaluator

CNTXT AI; United States; Remote; USD 28,000 - 55,000; Part time

Job summary

You will identify meaning drift and locale inconsistencies, explain corrections in writing, and fact-check localized content using reliable sources. Prior experience with AI data workflows and remote collaboration is preferred.

Qualifications

• Native speakers of American English born and raised in the United States.
• Excellent editorial judgment in tone, punctuation, inclusivity, and nuance.
• Ability to identify meaning drift, ambiguity, locale inconsistencies, and explain corrections clearly in writing.
• Ability to rigorously fact-check localized content 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 across time zones.

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 AI training datasets.
• LLM evaluation: reviewing AI outputs for accuracy, reasoning, coherence, and cultural/linguistic suitability.
• Localization QA: ensure terminology and locale details are accurate across outputs.

Job description

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 AI

CNTXT 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.