- Role : Quality Analyst (Remote)
- Location : Remote (Work from Anywhere)
- Job Type : Full-Time
- Payout : Competitive, based on experience
Role Overview: We are hiring for one of our clients, seeking an AI Quality Analyst - English to work on a full time basis. You will evaluate a new personalization feature for an AI model by assessing how well it integrates information from past conversations, email, search, and activity to deliver relevant responses. This role requires a combination of creative prompt design and analytical evaluation of AI-generated content.
Key Responsibilities:
- Evaluate the quality of personalized responses from an AI model using your own personal experiences as context.
- Design creative, multi-turn prompts that test the model’s ability to integrate personal data sources accurately.
- Assess model responses for grounding, integration, and helpfulness, identifying incorrect personalization or forced connections.
- Review side-by-side comparisons of AI responses to detect subtle differences in relevance and accuracy.
- Provide detailed feedback on model behavior to improve personalization performance.
Required Skills & Qualifications:
- English proficiency with a high degree of competence in reading and writing.
- Experience in prompt engineering or designing test cases for AI models.
- Ability to analyze nuanced and ambiguous AI responses with analytical rigor.
- Familiarity with personalization concepts and evaluation metrics in AI systems.
- Attention to detail to identify subtle discrepancies in model outputs.
- Willingness to use your primary personal Google account and enable personal data sources for assessment.
- Full-time availability in your local time zone to support a global, 24-hour operations team.
More About the Opportunity:
This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of advanced AI systems that deliver measurable business impact.
Equal Opportunity Employer:
We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.