Data Accuracy Analyst (Remote)
Hired
What the role involves
- Checking generated outputs
- Comparing paired outputs
- Recording ratings
What they ask for
Currently reside in Australia, Canada, Ireland, New Zealand, the United Kingdom or the United States; confident spoken English and clear written communication; computer, reliable internet, headphones and quiet space for voice-based tasks; produce ratings and explanations without AI tools
About the job
- Role: Data Accuracy 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 accuracy-focused people who can spot inconsistencies and make careful evidence-supported ratings. You will check generated outputs for consistent details, prompt accuracy and visible discrepancies 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 consistent details, prompt accuracy and visible discrepancies.
- Compare paired outputs for the more accurate and consistent result.
- Cite the exact discrepancy or accurate detail behind your 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.
- Strong attention to consistency, detail comparison and rating accuracy.
- Ability to verify each rating against the supplied accuracy 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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