Company: Meridial / Invisible Technologies

We’re looking for Korean translators with a strong command of both Korean and English who can assess and refine AI-generated translations for grammatical accuracy, fluency, cultural nuance, and context sensitivity. You’ll challenge the model with idiomatic expressions, ambiguous phrases, formal and informal tones, and real-world scenarios—documenting model failures and providing insight to improve translation quality and consistency. On a typical day, you will evaluate and edit AI outputs, translate between Korean and English in both directions, annotate errors, provide cultural or contextual explanations, and suggest improvements to prompts, evaluation methods, and model behavior.

Project Overview We are sourcing independent Language Alignment & Resource Partners (LARPs) to provide native-level Portuguese 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 Arabic language specialists who live and breathe the complexities of Arabic grammar, syntax, morphology, semantics, phonetics, and pragmatics. You’ll challenge advanced language models on topics like dialectal variation, formal versus colloquial language, Arabic script, translation accuracy, semantic ambiguity, 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 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.

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 mathematics specialists who live and breathe algebra, calculus, number theory, linear algebra, differential equations, statistics, geometry, mathematical logic, and discrete mathematics. You’ll challenge advanced language models on topics like real and complex analysis, optimization theory, mathematical proofs, set theory, probability distributions, cryptographic algorithms, and applied mathematics—documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model on classroom problems and theoretical mathematics questions, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improveme