We’re looking for Azerbaijani language specialists to challenge advanced language models on topics like contextual interpretation, semantic accuracy, and cultural nuance—documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model in Azerbaijani across a wide range of topics, verify linguistic accuracy and cultural relevance, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics.
We're seeking Arabic (Gulf) language specialists to enhance the next generation of AI. You'll challenge advanced language models on topics like contextual interpretation, dialectical distinctions, semantic accuracy, and cultural nuance—documenting every failure mode so we can harden model reasoning. You will converse with the model in Gulf Arabic across a wide range of topics and verify linguistic accuracy and cultural relevance.
We’re looking for Arabic (Iraqi) language specialists who live and breathe phonetics, morphology, syntax, regional dialects, colloquial expressions, and cultural references, challenging advanced language models on topics like contextual interpretation, dialectical distinctions, semantic accuracy, and cultural nuance, documenting every failure mode so we can harden model reasoning.
We’re looking for Yemeni Arabic language specialists who live and breathe phonetics, morphology, syntax, regional dialects, colloquial expressions, and cultural references. You’ll challenge advanced language models on topics like contextual interpretation, dialectical distinctions, semantic accuracy, and cultural nuance—documenting every failure mode so we can harden model reasoning. Ready to turn your Yemeni Arabic expertise into the knowledge base for tomorrow’s AI? Apply today and start teaching the model that will teach the world.
Looking for Aymara language specialists familiar with regional dialects, phonetics, syntax, idiomatic expressions, oral traditions, and cultural references to challenge advanced language models on topics like contextual interpretation, tone and meaning, dialectical distinctions, semantic accuracy, and cultural nuance. Documenting every failure mode so we can harden model reasoning.
We’re looking for Arabic (Levantine) language specialists who live and breathe phonetics, morphology, syntax, regional dialects, colloquial expressions, and cultural references. You’ll challenge advanced language models on topics like contextual interpretation, dialectical distinctions, semantic accuracy, and cultural nuance—documenting every failure mode so we can harden model reasoning. You will converse with the model in Levantine Arabic across a wide range of topics, verify linguistic accuracy and cultural relevance, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics.
Evaluate machine translations by assessing text and assigning semantic similarity scores. Evaluate the accuracy, fluency, and overall quality of online messages that have been translated by machines. The texts you'll be working with are similar to what you'd find in online conversations or on social media.
Evaluate machine translations by assessing text and assigning semantic similarity scores. Evaluate the accuracy, fluency, and overall quality of online messages that have been translated by machines, such as those found in online conversations or on social media. To be a successful contributor, one should be native bilingual in English and Gujarati and be comfortable understanding and applying guidelines.
We’re looking for Chinese speakers who understand the nuances of grammar, usage, spelling, tone, and cultural context in both formal and informal Chinese. You’ll challenge advanced AI models with linguistic edge cases, cultural subtleties, translation ambiguities, and phrasing differences—documenting model failures and guiding improvements with clarity and precision.