English (U.S. Native) AI Trainer & Evaluator (Remote, Hourly Contrator)
Position Summary
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:
ā¢ Content generation: writing high-quality prompts and model responses, or recording high-quality voice samples, to guide AI learning across diverse topics.
ā¢ Data annotation: labeling, classifying, and structuring documents, tables, and other content to support AI training datasets.
ā¢ LLM evaluation: reviewing AI-generated responses for accuracy, reasoning quality, coherence, and cultural/linguistic appropriateness.
ā¢ 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
ā¢ Native speakers of American English born and raised in the United States.
ā¢ Excellent editorial judgment in register, tone, punctuation, inclusivity, and cultural nuance, with extreme attention to detail.
ā¢ Ability to identify meaning drift, ambiguity, locale inconsistencies, and subtle errors, and to explain corrections clearly in writing.
ā¢ Ability to rigorously fact-check localized content (units, references, names, dates) using reliable sources and consistent reasoning.
ā¢ Ability to identify reasoning gaps, methodological errors, and unclear explanations even when language is fluent.
ā¢ Reliable, self-directed, and able to deliver consistent quality with clear communication and responsiveness across time zones.
Preferred Experience
ā¢ Familiarity with MQM/LQA concepts (severity, category, and root-cause thinking) for consistent quality decisions.
ā¢ Familiarity with QA workflows.
ā¢ 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.
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:
ā¢ Content generation: writing high-quality prompts and model responses, or recording high-quality voice samples, to guide AI learning across diverse topics.
ā¢ Data annotation: labeling, classifying, and structuring documents, tables, and other content to support AI training datasets.
ā¢ LLM evaluation: reviewing AI-generated responses for accuracy, reasoning quality, coherence, and cultural/linguistic appropriateness.
ā¢ 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
ā¢ Native speakers of American English born and raised in the United States.
ā¢ Excellent editorial judgment in register, tone, punctuation, inclusivity, and cultural nuance, with extreme attention to detail.
ā¢ Ability to identify meaning drift, ambiguity, locale inconsistencies, and subtle errors, and to explain corrections clearly in writing.
ā¢ Ability to rigorously fact-check localized content (units, references, names, dates) using reliable sources and consistent reasoning.
ā¢ Ability to identify reasoning gaps, methodological errors, and unclear explanations even when language is fluent.
ā¢ Reliable, self-directed, and able to deliver consistent quality with clear communication and responsiveness across time zones.
Preferred Experience
ā¢ Familiarity with MQM/LQA concepts (severity, category, and root-cause thinking) for consistent quality decisions.
ā¢ Familiarity with QA workflows.
ā¢ 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.