The Languages, Translation & Voice roles open on DataAnnotation today. For the same field across every platform, see all Languages, Translation & Voice jobs.
Pay figures cover the 42 open jobs that publish an hourly rate in USD. They are published rates, not a guarantee of income. Last checked on October 8, 2026.
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 Bengali specialist evaluates and corrects AI-generated Bengali text, focusing on accurate pronoun usage, regional variations, and natural phrasing. The role involves reviewing translations, scoring model outputs, and providing native-speaker feedback to improve AI language understanding.
Evaluate AI model performance on Catalan translation and localization tasks, assessing translation quality and cultural appropriateness. The role involves reviewing AI-generated outputs, identifying errors, and providing corrections and explanations to improve model training.
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.
This role involves judging how well frontier AI models handle Croatian translation, localization, and cultural nuance on real language projects. The contributor finds errors, explains why they occur, and writes better answers when a model falls short. It is aimed at linguists and bilingual reviewers with professional language experience who want flexible, remote, project-based work.
This role involves evaluating AI model outputs on Czech translation and localization tasks, identifying errors, and providing corrected versions to improve AI training. The position is suited for Czech language specialists who can assess translation quality, cultural nuance, and provide detailed explanations of model failures.
This role involves evaluating AI model performance on Danish translation and localization tasks. You will assess the quality of AI-generated content, identify errors, and provide corrections to train better language models. The work is remote and flexible, suited for professionals with Danish language expertise.
This role involves evaluating and correcting AI-generated Dutch text, focusing on natural language flow, appropriate formality levels, and regional variations. Dutch experts will assess translations and model outputs, rewriting substandard content to match native speaker standards.
This role involves evaluating AI model outputs on Finnish translation and localization tasks, identifying errors and quality issues, and providing corrected versions. The position is suited for Finnish language specialists who can assess how well AI handles linguistic and cultural nuances in real-world language work.
This role involves evaluating and correcting French language output from AI models, focusing on fluency, formality, regional accuracy, and native idiom. Qualified candidates will have native or near-native French proficiency and will provide feedback to improve how models handle grammar, register, and natural speech patterns.
This role involves evaluating and correcting German language output from AI models to improve naturalness and accuracy. You will assess translations, rate model outputs, and rewrite text to sound native while teaching AI systems how German is actually spoken, including regional variations and proper formality levels.
Evaluate AI models on Gujarati translation and localization tasks, assessing the quality of machine-generated outputs and providing corrections. The role involves analyzing errors in AI-generated Gujarati text, explaining failure modes, and writing better translations to help train improved language models.
This role involves evaluating and correcting AI-generated Hebrew text, focusing on grammatical accuracy, gender agreement, and appropriate register. You will review translations, rate model outputs, and write improved versions to train AI systems to handle Hebrew's linguistic complexities.
This role involves evaluating and correcting AI-generated Hindi text translations, assessing them for accuracy, fluency, and cultural appropriateness. As a Hindi specialist, you will rate model outputs and write improved versions that sound natural to native speakers, helping train AI models to produce authentic Hindi language content.
This role involves judging how frontier AI models handle Icelandic translation, localization, and cultural nuance on real projects. The reviewer rates model outputs, pinpoints errors, and explains why they happen. It suits people with professional language expertise who can write clear English explanations.
This role involves evaluating and correcting AI-generated Indonesian text for accuracy, fluency, and cultural appropriateness. As an Indonesian specialist, you will assess translations and model outputs, rewriting them when necessary to match how native speakers actually communicate.
This role involves evaluating and correcting AI-generated Italian text to ensure it captures native fluency, proper formality levels, and regional authenticity. You will rate model outputs, identify linguistic issues like incorrect gender agreement and unnatural phrasing, and rewrite examples to match how Italians actually speak.
This role involves evaluating and correcting AI-generated Japanese text to improve its linguistic accuracy and cultural appropriateness. As a Japanese specialist, you will assess translations, identify issues with politeness levels (keigo), grammar, and natural flow, then provide corrected versions that sound native to Japanese speakers.
Evaluate AI model outputs on Kannada translation and localization tasks, identifying errors and providing high-quality corrections. The role involves reviewing real-world language work, analyzing model failures, and contributing to AI training data through detailed linguistic assessment.
This role involves evaluating and correcting AI-generated Korean language output, focusing on speech levels, honorifics, particles, and translation quality. The position is designed for native or near-native Korean speakers who can identify subtle linguistic errors that AI models commonly make and provide corrected versions that sound natural.
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FAQ
42 DataAnnotation Languages, Translation & Voice jobs are open on SideHustler today. Listings are rechecked against the official postings: the latest check on this list was on October 8, 2026.
Among the 42 open roles that publish an hourly rate in USD, pay runs from $25 to $40 per hour, with a median of $33. These are the rates the platforms publish, not a guarantee of income or hours.
The most requested areas of expertise on these listings are Language Evaluation, Multilingual Expertise, Text Annotation, Content Annotation, AI Evaluation. Each listing states its own requirements.
You apply on DataAnnotation: create an account, take the qualification assessment for your field, then pick up paid projects when you qualify.
Apply now opens the official posting on the platform, where you complete the application. You need no account on SideHustler. To see which roles fit your background first, add your resume and every open job is scored against your profile.
