Content Quality Associate (Remote)
Hired
What the role involves
- Assessing generated content
- Comparing paired outputs
- Recording quality ratings
What they ask for
Confident spoken English and clear written communication; ability to assess content quality and apply checks consistently; computer, reliable internet, headphones and quiet space for voice tasks; residence in an eligible country; independent ratings without AI tools
About the job
- Role: Content Quality Associate (Remote)
- Location: Remote from US, CA, UK, IE, AU, NZ
- Engagement Type: Freelance / Hourly Contract
Applicants must currently reside in Australia, Canada, Ireland, New Zealand, the United Kingdom or the United States.
Overview
We are looking for methodical people who spot observable problems and apply checks consistently. You will assess generated content for relevance, clarity, completeness and evidence-backed meaning while evaluating AI-generated voice, image and video content. This opportunity is remote, with flexible hours and assignments based on project availability. Students, recent graduates and working professionals are welcome to apply.
Key Responsibilities
- Assess generated content for relevance, clarity, completeness and evidence-backed meaning.
- Compare paired outputs for errors, missing details, clarity and prompt alignment.
- Explain which observable details support your quality judgment.
- Take part in English conversations with AI models when assigned to voice tasks.
- Record your ratings using project guidelines and flag examples that are difficult to judge.
Requirements
- Confident spoken English and clear written communication.
- Ability to recognise content quality issues across multiple formats.
- Ability to repeat defined checks and flag uncertain cases consistently.
- A computer, reliable internet and headphones, with a quiet space for voice-based tasks.
- Ability to produce your own ratings and written explanations without using AI tools.
Equal Opportunity
We welcome applications from qualified individuals of all backgrounds. Applicants are considered based on relevant skills, qualifications and project eligibility requirements, without discrimination on grounds protected by applicable law.
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