AI Data Quality Analyst (Remote)
Hired
What the role involves
- Reviewing generated examples
- Comparing paired examples
- Recording evidence-based ratings
What they ask for
Confident spoken English; clear written communication; ability to identify quality signals and make evidence-based ratings; computer, reliable internet, headphones and quiet space for voice tasks; produce ratings without AI tools; reside in an eligible country
About the job
- Role: AI Data Quality Analyst (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 precise people who can evaluate generated AI examples using clear, evidence-based observations. You will review generated AI examples for consistent details, prompt relevance and clear quality signals 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
- Review generated AI examples for consistent details, prompt relevance and clear quality signals.
- Compare paired examples for accurate context, coherent responses and quality differences.
- Explain which evidence supports the selected quality rating.
- 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 identify relevant quality signals and describe them accurately.
- Ability to make evidence-based ratings from provided AI review criteria.
- 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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