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