Expertise: language_evaluation

Project Overview We are sourcing independent Language Alignment & Resource Partners (LARPs) to provide native-level Korean language vetting and QA for a specialized AI data project. Production & Vetting Support: Providing native-level language vetting during project scaling and offering specialized linguistic consultation throughout the production phase. As a contractor you’ll supply a secure computer and high‑speed internet; company‑sponsored benefits such as health insurance and PTO do not apply.

We’re looking for German speakers who understand the nuances of grammar, usage, spelling, tone, and cultural context in both formal and informal German. 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. On a typical day, you will engage in text-based conversations with the model, evaluate its responses for accuracy and fluency, annotate linguistic patterns, test comprehension across a range of German language inputs, and suggest refinements to prompts and evaluation methods.

We’re looking for Korean language specialists who live and breathe Korean grammar, syntax, morphology, phonetics, semantics, and pragmatics. You’ll challenge advanced language models on topics like honorifics, sentence structure, verb conjugation, word order, regional dialects, idiomatic expressions, and script variations—documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model on language scenarios, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics.

We’re looking for Korean speakers who understand the nuances of grammar, usage, spelling, tone, and cultural context in both formal and informal Korean. 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. On a typical day, you will engage in text-based conversations with the model, evaluate its responses for accuracy and fluency, annotate linguistic patterns, test comprehension across a range of Korean language inputs, and suggest refinements to prompts and evaluation methods.

We’re looking for a Japanese–Korean Bilingual Specialist who can bring linguistic precision, cultural knowledge, and critical thinking to training data. You’ll work with cutting-edge AI tools, evaluate translations and conversations between Japanese and Korean, and provide structured feedback to improve accuracy, fluency, and cultural alignment. On a typical day, you will review AI-generated translations, annotate errors, assess responses for naturalness and context, and collaborate with our team to refine prompts, evaluation methods, and linguistic guidelines.

We’re looking for Swedish language specialists who live and breathe phonology, morphology, syntax, semantics, pragmatics, sociolinguistics, and language acquisition in Swedish. You’ll challenge advanced language models on topics like verb conjugation, noun-adjective agreement, sentence structure, regional dialects, word order, idiomatic expressions, and cultural context—documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model on language scenarios, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics.

We’re looking for Vietnamese language specialists who live and breathe phonology, orthography, syntax, semantics, pragmatics, historical linguistics, and sociolinguistics. You’ll challenge advanced language models on topics like tonal differentiation, classifier usage, compound formation, dialectal variation, idiomatic expressions, honorifics, and context-dependent meaning—documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model on language scenarios, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics.

We’re looking for Romanian language specialists who live and breathe phonetics, morphology, syntax, semantics, pragmatics, and sociolinguistics of the Romanian language. You’ll challenge advanced language models on topics like verb conjugation, noun-adjective agreement, sentence structure, word order, accentuation, and colloquial expressions—documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model on language scenarios, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics.

We’re looking for Thai language specialists who live and breathe phonetics, syntax, morphology, semantics, pragmatics, sociolinguistics, and language acquisition in Thai. You’ll challenge advanced language models on topics like tone marking, sentence structure, classifier usage, regional dialects, formal and informal language distinctions, idiomatic expressions, and cultural references—documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model on language scenarios, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics.

We’re looking for Greek language specialists who live and breathe Greek grammar, syntax, morphology, phonology, semantics, and pragmatics. You’ll challenge advanced language models on topics like verb conjugation, noun declension, word order, accents, idiomatic expressions, and stylistic variation—documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model on language scenarios, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics.