Live opening · Posted 9 days ago

Product Manager - Remote

YO AI Labs · New York, United States (Remote)
Linkedin No
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At a glance

The key details from the original listing.

Posted 9 days ago
CompanyYO AI Labs
LocationNew York, United States (Remote)
Work modeNo
SourceLinkedin
Listed9 days ago

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About the role

Description supplied by the original job listing.

Product Manager / Product Owner
Role Type: Contractor
Location: Remote
We are seeking experienced Product Managers and Product Owners to contribute to a customer project focused on evaluating and improving advanced AI systems.
You'll apply your product expertise to assess AI-generated content, specifications, and product documentation. No prior AI experience is required.
This is strictly an evaluation and analysis role. It does not involve roadmap ownership, delivery management, sprint facilitation, stakeholder leadership, or program management. Candidates should have strong product management or product ownership experience.
Scope of Work
Evaluate and compare AI-generated specifications, release notes, user-facing content, and stakeholder communications.
Assess responses for clarity, accuracy, tone, usefulness, and adherence to instructions.
Provide detailed rationales and actionable feedback for each evaluation.
Identify content that is fluent but fails to address the intended question or user need.
Detect factual inaccuracies, inconsistencies, and violations of prompt requirements.
Collaborate virtually and asynchronously with project managers and reviewers to maintain evaluation quality and consistency.
Preferred Qualifications
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.
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 is a plus, but not required.

Work arrangement
No

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