$48-52/hrAs published by the platform.
This role asks bilingual German and English speakers to help make AI models safer when they handle sensitive topics in German. The work combines native-level language skill with cultural judgment to test and improve model responses. No prior AI or machine learning experience is needed, since the workflow is taught on the job.
$48-52/hr
Pay as published by the platform. It is not a guarantee of income or hours.
Open to residents of: United States.
You apply on work.mercor.com: create a profile, complete a skills assessment, then get matched to projects that fit your background.
Official posting: https://work.mercor.com/jobs/list_AAABoGoj_ailAMkwhyxJFbC3/bilingual-german-generalist-expert-ai-safety
Last checked on November 5, 2026.
This remote role suits native or near-native Czech speakers with solid English who want to help make AI models handle sensitive topics more safely. The work centers on writing Czech test prompts, judging how models respond, and recording the reasoning behind each call. Prior AI experience is not needed because the workflow is taught on the job.
Posted September 4, 2026
This role asks bilingual speakers to test how advanced AI models handle sensitive topics when users write in regional Dutch as locally used. The work includes writing test prompts, classifying conversations against structured guidelines, and recording the reasoning behind each judgment. It suits native or near-native Dutch speakers with solid English and sound judgment, and no prior AI experience is needed.
Posted September 4, 2026
This role involves evaluating and improving AI systems trained on Japanese-language content by assessing the linguistic accuracy, naturalness, and educational quality of AI-generated speech and text. Native Japanese speakers with teaching or language evaluation experience will provide expert feedback to enhance AI tutoring and language-learning models.
This role involves evaluating and improving AI systems trained on Portuguese by assessing AI-generated speech and text, as well as learner language across proficiency levels. Native Portuguese speakers with teaching or assessment experience will provide linguistic expertise and pedagogical insights to enhance AI language understanding and educational quality.
This role involves evaluating and improving Arabic translations and AI-generated text by assessing fluency, tone, and cultural authenticity. Native or near-native Arabic speakers will teach language models to produce more natural, human-like Arabic output by rating translations, identifying gaps that automated systems miss, and rewriting model outputs to match native speaker standards.
A Chinese language specialist who evaluates and corrects AI-generated Mandarin text for naturalness, cultural appropriateness, and native fluency. The role involves rating model outputs, identifying errors in measure words and idioms, and rewriting content to sound authentically Chinese rather than translated.
