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<p><strong>Position Summary</strong></p><p>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:</p><ul><li><p><strong>Data annotation:</strong> labeling, classifying, and structuring documents, tables, and other content to support AI training datasets.</p></li><li><p><strong>LLM evaluation:</strong> reviewing AI-generated responses for accuracy, reasoning quality, coherence, and cultural/linguistic appropriateness.</p></li><li><p><strong>Content generation:</strong> writing high-quality prompts and model responses, or recording high-quality voice samples, to guide AI learning across diverse topics.</p></li><li><p><strong>Localization QA:</strong> ensuring terminology, tone, cultural nuance, and locale-specific details (units, references, names, dates) are consistently accurate across outputs.<br><br></p></li></ul><p>You will apply senior-level German localization and translation judgment alongside minimum C1 English proficiency to ensure terminology, tone, and cultural nuance are consistently accurate across use cases.</p><p><strong>Profile Requirements</strong></p><ul><li><p>Bachelor's degree or higher, preferably in Translation, Linguistics, Localization, Communications, or a related field.</p></li><li><p>Native or near-native German proficiency with strong writing and editing skills.</p></li><li><p>Minimum C1 English proficiency (reading/writing) for interpreting prompts, source materials, and evaluation guidelines.</p></li><li><p>Excellent editorial judgment in register, tone, punctuation, inclusivity, and cultural nuance, with extreme attention to detail.</p></li><li><p>Ability to identify meaning drift, ambiguity, locale inconsistencies, and subtle errors, and to explain corrections clearly in writing.</p></li><li><p>Ability to rigorously fact-check localized content (units, references, names, dates) using reliable sources and consistent reasoning.</p></li><li><p>Ability to identify reasoning gaps, methodological errors, and unclear explanations even when language is fluent.</p></li><li><p>Reliable, self-directed, and able to deliver consistent quality with clear communication and responsiveness across time zones.<br><br></p></li></ul><p><strong>Preferred Experience</strong></p><ul><li><p>Professional localization or translation experience.</p></li><li><p>Previous experience with AI data training, annotation, or evaluation.</p></li><li><p>Familiarity with MQM/LQA concepts (severity, category, and root-cause thinking) for consistent quality decisions.</p></li><li><p>Familiarity with CAT tools and QA workflows.<br><br></p></li></ul><p><strong>About CNTXT AI</strong></p><p>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.</p>
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