Quick Summary
Roles and responsibilities Perform quality evaluations of customer interactions using both manual and AI-assisted evaluation workflows. Validate AI-generated QA scores and ensure alignment with defined quality frameworks.
Roles and responsibilities
Perform quality evaluations of customer interactions using both manual and AI-assisted evaluation workflows.
Validate AI-generated QA scores and ensure alignment with defined quality frameworks.
Conduct targeted call and interaction scrubbing based on AI-identified risk signals.
Ensure adherence to SOPs, compliance requirements, and customer experience standards.
Leverage AI-based insights to prioritise interactions requiring QA intervention.
Focus QA effort on high-risk interactions instead of random sampling.
Escalate critical quality concerns and behavioural risks.
Analyze QA datasets to identify top failing parameters, agent behaviour patterns, customer experience gaps.
Work with structured datasets (Google Sheets/MS Excel) to generate actionable insights.
Support creation and maintenance of dashboards within QMS.
Provide feedback on feature enhancements related to AI models & functions in QMS.
Use QMS dashboards to monitor contact centre quality health, agent performance trends, experience metrics. (customer sentiment, interaction outcomes)
Take proactive action based on insights. (scrubbing, escalation, coaching recommendations)
Participate in QA calibration sessions to ensure scoring consistency.
Recommend improvements to scorecards, parameters, and evaluation frameworks.
Contribute to evolving QA processes toward AI-first quality assurance models.
Location & Eligibility
Listing Details
- First seen
- May 6, 2026
- Last seen
- May 8, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 49%
- Scored at
- May 6, 2026
Signal breakdown
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