Remote AI Conversation Evaluator & Personalization Tester

Anyone AI Inc.; Lisboa; Remote; EUR 28,000 - 48,000; Part time

Job summary

Anyone AI is seeking participants to evaluate AI conversations in a remote, part-time capacity. You will engage in natural, multi-turn conversations with two AI assistants and write prompts that draw on your own interests or needs.

You’ll also reference information from your connected services to test relevance and personalization. The role emphasizes clear, structured feedback on usefulness, naturalness, trustworthiness, and safety, with emphasis on how well each assistant handles user

Qualifications

• Fluency in one of the supported languages/locales.
• Strong reading comprehension and the ability to explain your feedback clearly.
• Willingness to interact with AI using relevant personal context and connected services.
• Recent activity across a qualifying combination of digital services.
• Completion of the project’s eligibility verification and corresponding expert requirements.

Responsibilities

• Write prompts about questions, interests, or needs relevant to you.
• Have natural, multi-turn conversations with two AI assistants.
• Include questions that draw on information or activity from your connected services, where relevant.
• Compare how effectively each assistant uses available information and connects relevant context.
• Assess whether responses feel helpful, natural, trustworthy, and safe.
• Evaluate how each assistant responds to your feedback and corrections.
• Provide clear explanations supporting your evaluations.

Skills

Attention to detail

Clear feedback

Reading comprehension

Feedback explanation

Job description

Anyone AI is seeking participants to evaluate AI conversations in a remote, part-time capacity. You will engage in natural, multi-turn conversations with two AI assistants and write prompts that draw on your own interests or needs.

You’ll also reference information from your connected services to test relevance and personalization. The role emphasizes clear, structured feedback on usefulness, naturalness, trustworthiness, and safety, with emphasis on how well each assistant handles user