Help shape the future of AI by evaluating how conversational AI agents communicate and perform across different languages. Location: Remote / Global, subject to project location restrictions Type: Independent contractor / Project-based Commitment: To be confirmed Compensation: To be confirmed Project duration: 2–3 months About the role At Anyone AI, we create high-quality training and evaluation data for frontier AI models. We’re looking for multilingual audio evaluators with strong spoken-language proficiency and technical literacy to assess conversational AI agents. In this role, you’ll participate in live, real-time roleplay scenarios, capture session recordings and technical logs, label conversation transcripts, and evaluate interactions using structured rubrics. Your feedback will help improve the quality and reliability of AI conversations across languages. Responsibilities Prepare and confirm the required tools and access before each live session. Conduct live, real-time roleplay scenarios with conversational AI agents. Capture recordings, session IDs, and tool-call or console logs. Label conversation transcripts according to project guidelines. Score interactions against structured evaluation rubrics. Provide clear written explanations supporting your scores. Read, validate, and troubleshoot JSON, identifying structural and formatting issues. Requirements C1/C2 spoken fluency in at least one of the target languages listed below. Ability to demonstrate language proficiency through a speaking and listening assessment. Strong JSON skills, including reading, validation, troubleshooting, and identifying structural or formatting errors. Comfort using digital tools and collecting recordings and technical logs. Strong attention to detail and the ability to follow evaluation guidelines consistently. Clear written communication and sound judgment when assessing AI interactions. Languages We’RE Hiring for Welsh Dutch Greek Italian French German Portuguese Nice to have Experience in AI evaluation, audio annotation, or transcript labeling. A background in technical support, quality assurance, or software development. Familiarity with conversational AI, APIs, and structured data.
