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Product Manager - Remote

YO AI Labs·Zürich·06.10.2026

 yoailabs.careers-page.com

 
 
contract80–100%
Required language
English native
Job written in
English
Location
Zürich
Work type
Remote
Type
Contract

 

The role is for a Product Manager or Product Owner working on a customer project focused on evaluating and improving advanced AI systems. The company is not specified, but the role is a contractor position. The main day-to-day responsibilities involve evaluating and comparing AI-generated content, including specifications, release notes, user-facing content, and stakeholder communications. This includes assessing responses for clarity, accuracy, tone, usefulness, and adherence to instructions. The role also involves providing detailed rationales and actionable feedback, identifying content that fails to address user needs, detecting factual inaccuracies, and collaborating virtually with project managers and reviewers. The must-have requirements include professional experience as a Product Manager or Product Owner, native-level English fluency, and excellent written communication skills. Experience creating and reviewing PRDs, specifications, acceptance criteria, release notes, or decision documents is also required. The ability to evaluate content for various stakeholders and strong critical analysis skills are essential. Nice-to-have skills include familiarity with AI model evaluation, RLHF, or annotation. The role is remote, allowing for independent work and the ability to meet deadlines in a remote environment. What the role asks for: - Professional experience as a Product Manager or Product Owner. - Native-level English fluency. - Excellent written communication skills. - Experience creating and reviewing PRDs, specifications, acceptance criteria, release notes, or decision documents. - Ability to evaluate content for technical stakeholders, executives, and end users. - Strong critical analysis, attention to detail, and written feedback skills. - Ability to work independently and meet deadlines in a remote environment. - Familiarity with AI model evaluation, RLHF, or annotation (nice-to-have).

 

 

 

 

 

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