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Everseen

Visual AI for retail shrink prevention

Quality Analyst Reporting

Data Management +1Confirmed live in the last 24 hours
Full-timePune, Maharashtra, IndiaNo salary listedIn-person

About the Job

Requirements

  • At least 3 years of experience in Quality Assurance, Quality Engineering, or Data Quality Control within high-volume data processing, analytics, or technology operations environments.
  • Strong proficiency in data analysis, including statistical tracking, root-cause analysis, and basic data tools such as Excel, SQL, or dashboard reporting tools such as business intelligence tools.
  • Experience working alongside automated systems, data annotation platforms, or machine-learning pre-labeling loops is highly preferred.
  • Graduation in an engineering background.
  • Ability to collaborate and bridge communication between front-line annotators, technical project coordinators, and machine-learning engineers.

Responsibilities

  • Monitor, evaluate, and improve the quality of reporting interactions to ensure operational excellence.
  • Work with Quality Analyst, Data & Reporting Managers, Subject Matter Experts, and Operations teams to conduct quality audits, provide actionable feedback, identify improvement opportunities in processes and tools, and ensure adherence to support processes, quality standards, and service-level expectations.
  • Serve as a subject matter expert for quality processes, supporting audits, compliance reviews, and customer-facing quality initiatives.
  • Create dashboards and reports of quality checks.
  • Design and execute a risk-based sampling model driven by historical error metrics, replacing traditional random 10% sampling.
  • Focus expert auditing resources on high-probability error transactions, including complex multi-item checkouts, tenured anomalies, and edge cases flagged by artificial intelligence.
  • Partner with the Technical Project Coordinator and Systems Engineering teams to design real-time feedback loops and automated validation gates within core auditing tools, GRIME and ASGARD.
  • Flag and correct data discrepancies at the entry point before they exit the primary audit phase.
  • Conduct root-cause analysis on recurring database discrepancies to identify underlying drivers such as software tool lag, vague annotation guidelines, or machine-learning model classification gaps.
  • Translate root-cause analysis findings into corrective actions, updated documentation playbooks, and training huddles for the reporting floor.
  • Audit and label automated classification outputs as the authoritative validation layer for artificial-intelligence-driven engines, maintaining a near-100% database gold standard.
  • Identify patterns of artificial intelligence model bias or drift arising from new cashier behaviors or store layouts, and provide structured corrections to Research and machine-learning development teams.

Desired Qualifications

  • Experience working alongside automated systems, data annotation platforms, or machine-learning pre-labeling loops.

About the Company

Everseen

Visual AI for retail shrink prevention

What does the company do? Everseen provides Visual AI and computer vision solutions for retailers to reduce shrink, streamline store operations, and improve the customer experience. How does the product work? Its AI-powered cameras and software monitor activities at checkout lanes, in aisles, and at receiving doors to detect issues and unusual patterns, helping stores see things humans might miss and then take action. How is it different from competitors? Everseen emphasizes global scale, a best-in-class Visual AI platform, and coverage across multiple store touchpoints (checkout, aisles, receiving) to deliver measurable improvements at large retailers. What is the company’s goal? To help retailers lower costs and raise sales by preventing losses and optimizing operations, ultimately delivering a better shopping experience.

Company size
501-1,000
Company stage
Series A
Total funding
$91.6M
Headquarters
Cork, Ireland
Founded
2008

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