AI Content Quality Editor

Crossing Hurdles; United States; On-site; USD 55,000 - 90,000; Full time

Job summary

Crossing Hurdles is seeking a detail-focused evaluator to review AI-generated outputs for quality, clarity, and usability. You will identify inconsistencies across diverse content types and provide actionable feedback to improve models.

You will collaborate with cross-functional teams to define quality standards, scoring criteria, and review processes, maintaining high accuracy and consistent results across evaluations.

Qualifications

• Native English proficiency at C1 or C2 level.
• Exceptional reading comprehension and acute attention to detail.
• Demonstrate strong observational skills with editorial judgment.
• Think critically and deliver high-quality evaluations in ambiguous scenarios.
• Excellent written and verbal communication skills.

Responsibilities

• Review and critically assess AI-generated outputs for quality, clarity, usability, and overall user experience.
• Identify inconsistencies, weaknesses, and improvement opportunities across diverse content types and visual experiences.
• Apply structured evaluation guidelines and provide insightful feedback to inform model improvements.
• Collaborate with cross-functional teams to define and refine quality standards, scoring criteria, and review processes.
• Maintain high accuracy and consistency across evaluations, ensuring reliable and actionable results.
• Contribute to the continuous enhancement of evaluation workflows and best practices.

Skills

Native English proficiency

Reading comprehension

Attention to detail

Editorial judgment

Critical thinking

Written and verbal communication

Job description

Crossing Hurdles is seeking a detail-focused evaluator to review AI-generated outputs for quality, clarity, and usability. You will identify inconsistencies across diverse content types and provide actionable feedback to improve models.

You will collaborate with cross-functional teams to define quality standards, scoring criteria, and review processes, maintaining high accuracy and consistent results across evaluations.