AI Systems Engineer

Company: Hire Feed

Location: Location not specified (Remote)

Type: Full-time

Remote: Yes

Posted: 2026-06-19

About this role

- Role
: Talent Acquisition Manager
- Location
: Remote (Work from Anywhere)
- Payout
: $80–120 per hour

Role Overview:

We are hiring for one of our clients, seeking a People ops / recruiting Evaluator to work on a contractual basis. This role involves reviewing AI-generated work products—such as documents, spreadsheets, and slide decks—used in people operations and recruiting functions. The work requires evaluating accuracy, rigor, and domain-specific quality to ensure outputs meet professional standards.

Key Responsibilities:

• Evaluate AI-generated artifacts against domain-specific quality rubrics to assess accuracy and relevance.

• Identify factual errors, inconsistencies, and aesthetic flaws in documents, spreadsheets, and slide presentations.

• Grade outputs for rigor, clarity, and alignment with industry best practices in people operations and recruiting.

• Provide structured, written feedback that clearly articulates strengths and areas for improvement.

• Work remotely with flexibility to deliver timely, high-quality evaluations on a project basis.

Required Skills & Qualifications:

• Minimum of five years of professional experience in people operations, recruiting, or related human resources functions.

• Native or professional fluency in English with strong written communication skills.

• High proficiency in Microsoft Office and Google Workspace, with specific expertise in Google Slides and PowerPoint.

• Ability to assess technical and non-technical content with attention to detail and domain-specific standards.

• Experience working with evaluation frameworks or rubrics in professional or academic settings.

More About the Opportunity:

This role offers a unique opportunity to contribute to the development of AI-driven tools used in human resources and recruiting workflows at a global technology leader. Evaluators play a direct role in improving the reliability and effectiveness of AI outputs that support hirin...

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