Media, Journalism, and Communications Evaluator
J
JobgetherMedia and Journalism
CanadaContractMiddle
Salary80 - 120 USD per hour
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Job Details
- Languages
- English
- Experience
- 5+ years
- Required Skills
- Microsoft OfficeAnalytical SkillsGoogle Workspace
Requirements
- 5+ years of relevant professional experience in media, journalism, communications, editorial, content, or a closely related field.
- Native or professional-level fluency in English, with excellent written and verbal communication skills.
- Strong editorial judgment and the ability to assess content for accuracy, clarity, relevance, tone, and audience suitability.
- Exceptional attention to detail and the ability to identify subtle factual, structural, stylistic, and presentation issues.
- Strong analytical and critical-thinking skills, with the ability to evaluate content objectively against defined criteria.
- Ability to produce concise, structured, and constructive written feedback.
- Highly proficient in Microsoft Office and Google Workspace, particularly presentation and document tools such as Google Slides.
- Comfortable working independently in a remote, asynchronous environment while managing deadlines and priorities.
- An advanced degree, such as a Master’s degree or higher, from a reputable institution is preferred.
Responsibilities
- Evaluate AI-generated media, journalism, and communications content against established quality rubrics and domain-specific standards.
- Review outputs for factual accuracy, relevance, clarity, tone, structure, presentation, and overall communication quality.
- Identify factual errors, inconsistencies, editorial weaknesses, aesthetic issues, and presentation problems.
- Provide clear, structured, and actionable written feedback to help improve AI-generated content and model performance.
- Apply professional media, journalism, and communications expertise to assess whether outputs meet appropriate industry standards.
- Collaborate with subject-matter experts to maintain consistency, accuracy, and relevance across evaluation datasets.
- Work independently and asynchronously while meeting deadlines and maintaining consistently high-quality evaluation standards.
- Contribute insights that help improve the reliability, usefulness, and effectiveness of AI-generated communications and media content.
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