Make AI smarter for Kannada speakers by joining our audio annotation project. You'll listen to short audio clips in Kannada and classify them based on simple guidelines to improve machine speech recognition for millions of users. You must be a native Kannada speaker residing in India, with excellent Kannada grammar and spelling skills, and a good understanding of English.
Help AI recognize Estonian more accurately! Be part of a language identification project where you’ll listen to audio clips and determine whether they match the target language. Your work will directly support AI tools in becoming smarter and more reliable.
Help AI recognize Lingala more accurately! Be part of a language identification project where you’ll listen to audio clips and determine whether they match the target language. Your work will directly support AI tools in becoming smarter and more reliable.
Evaluate, score, and provide feedback on AI responses to ensure accuracy, relevance, and cultural appropriateness, playing a critical part in helping to train safe, useful AI. Review and score AI-generated responses across a wide variety of topics and suggest improvements and corrections using natural language examples. You will be exposed to prompts that may include sexual, political, violent, or otherwise offensive content.
You will improve Large Language Model’s performance by labeling, ranking, auditing, and correcting text output thus having a lasting impact on Cohere’s tech. You will accurately label and rank machine learning data, scrutinize and rectify any inaccuracies in language data, and efficiently complete reading and text-based assignments.
In this role, you will evaluate, score, and provide feedback on AI responses to ensure accuracy, relevance, and cultural appropriateness. You’ll play a critical part in helping to train safe, useful AI. Please note: You will be exposed to prompts that may include sexual, political, violent, or otherwise offensive content . Candidates must be comfortable reviewing such material.
Shape the future of AI by leveraging your expertise in English (Caribbean/Belize/Guyana) language. You will challenge advanced language models on topics like contextual interpretation, tone adaptation, and semantic accuracy, documenting every failure mode to harden model reasoning. On a typical day, you will converse with the model in English 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, score, and provide feedback on AI responses to ensure accuracy, relevance, and cultural appropriateness. Play a critical part in helping to train safe, useful AI. Must be comfortable reviewing prompts that may include sexual, political, violent, or otherwise offensive content.
In this role, you will evaluate, score, and provide feedback on AI responses to ensure accuracy, relevance, and cultural appropriateness, playing a critical part in helping to train safe, useful AI. Please note that you will be exposed to prompts that may include sexual, political, violent, or otherwise offensive content and candidates must be comfortable reviewing such material.
We are looking for native Portuguese speakers located in Portugal, who are skilled AI Linguists, to support an AI training project focused on audio data annotation and evaluation. The role involves comparing short audio clips and providing detailed feedback on quality, pronunciation, and nativeness.