Data Review Analyst (Remote)
Hired
What the role involves
- Checking generated outputs
- Comparing paired examples
- Explaining ratings with evidence
What they ask for
Confident spoken English and clear written communication; computer, reliable internet, headphones and quiet space for voice tasks; ability to rate and explain without AI tools; must reside in an eligible country
About the job
- Role: Data Review 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 careful, analytical people who enjoy comparing details and supporting judgments with evidence. You will check generated outputs for missing details, contradictions and inconsistent information 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
- Check generated outputs for missing details, contradictions and inconsistent information.
- Compare paired examples for accuracy, consistency, usefulness and prompt alignment.
- Explain each rating with specific evidence from the outputs you reviewed.
- 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 spot subtle differences and recurring inconsistencies.
- Ability to apply written criteria consistently across varied examples.
- 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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