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Video Analyst & Quality Check

SAI Group Ltd · Remote (India)

Remote
Full-time
Mid

Posted January 21, 1970

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AI Summary

SAI Group Ltd is hiring a full-time Video Analyst & Quality Check Executive (fresher to 2 years experience) to review retail CCTV and self-checkout footage, verify transaction irregularities and AI-generated alerts, and perform quality checks on analysts' classifications. The role suits detail-oriented candidates interested in computer vision and retail loss prevention, with responsibilities including meeting daily review targets, maintaining accurate reports, and escalating critical incidents.

Job Description

Job Description – Video Analyst & Quality Check Executive

Company: SAI

Department: Video Analytics & Quality Assurance
Job Title: Video Analyst & Quality Check Executive

Employment Type: Full-Time

Experience: Fresher to 2 Years

Location: As per Company Requirements

About SAI

SAI is a technology-driven company specializing in AI-powered video analytics, computer vision, and retail intelligence solutions. Our systems help retailers monitor store operations, identify potential losses, improve checkout accuracy, and enhance operational efficiency.

We are looking for detail-oriented and responsible individuals to join our Video Analytics and Quality Assurance team.

Job Summary

The Video Analyst & Quality Check Executive will be responsible for reviewing retail surveillance footage, identifying transaction irregularities, verifying AI-generated alerts, and ensuring accurate classification of events.

The role requires strong observation skills, attention to detail, analytical thinking, and the ability to maintain high standards of data accuracy and quality.

Key Responsibilities

1. Video Analysis & Monitoring

  • Review CCTV and self-checkout (SCO) surveillance footage.
  • Identify suspicious activities, missed scans, product switching, incomplete payments, and other transaction irregularities.
  • Compare video footage with transaction details to verify potential retail losses.
  • Analyze customer interactions at checkout counters.
  • Accurately classify reviewed transactions according to established guidelines.
  • Meet assigned daily video review targets.

2. Quality Checking & Verification

  • Perform quality checks on transactions reviewed by video analysts.
  • Verify whether alerts have been correctly classified.
  • Identify incorrect classifications, missed incidents, and reporting discrepancies.
  • Ensure consistency and accuracy across reviewed transactions.
  • Provide feedback to analysts regarding errors and areas for improvement.
  • Maintain quality assurance records and review reports.

3. AI Alert Verification

  • Review alerts generated by AI-based video analytics systems.
  • Validate potential theft, missed-scan, product-switching, and checkout-related incidents.
  • Differentiate genuine incidents from false-positive alerts.
  • Ensure appropriate categorization of AI-detected events.
  • Report recurring AI detection errors to the relevant team.

4. Data Management & Reporting

  • Maintain accurate daily productivity and quality reports.
  • Record transaction IDs, review outcomes, and observations.
  • Update assigned Excel sheets, tracking systems, and internal dashboards.
  • Escalate unusual or critical incidents to supervisors.
  • Maintain confidentiality of surveillance videos and transaction data.

5. Team Coordination & Performance

  • Coordinate with team leaders and quality assurance personnel.
  • Follow standard operating procedures (SOPs) and review guidelines.
  • Participate in training and feedback sessions.
  • Achieve assigned productivity and accuracy targets.
  • Support continuous improvement of video review processes.

Required Skills

  • Strong attention to detail and observation skills.
  • Ability to analyze video footage accurately.
  • Basic computer knowledge and proficiency in MS Excel.
  • Good analytical and problem-solving abilities.
  • Ability to identify discrepancies in transactions.
  • Good communication and reporting skills.
  • Ability to work independently and as part of a team.
  • Time management and ability to meet daily targets.
  • Willingness to learn new tools and technologies.

Educational Qualification

  • Minimum: Higher Secondary (12th Pass).
  • Preferred: Graduate in any discipline.
  • Basic computer proficiency is mandatory.
  • Freshers with good observation and analytical skills are encouraged to apply.

Preferred Experience

  • Experience in CCTV monitoring or video surveillance.
  • Experience in retail operations, transaction verification, or quality assurance.
  • Knowledge of self-checkout systems is an advantage.
  • Experience in data entry, Excel reporting, or transaction auditing.

Prior experience is preferred but not mandatory.

Key Performance Indicators (KPIs)

Performance will be evaluated based on:

  1. Review Productivity: Number of transactions or videos reviewed daily.
  2. Classification Accuracy: Percentage of correctly classified transactions.
  3. Quality Score: Accuracy and consistency of reviewed work.
  4. Incident Identification: Ability to identify genuine losses and irregularities.
  5. False-Positive Handling: Correct identification of non-loss cases.
  6. Reporting Accuracy: Completeness and correctness of documentation.
  7. SOP Compliance: Adherence to company guidelines and procedures.

Ideal Candidate

We are looking for candidates who are observant, disciplined, responsible, and comfortable performing detailed video analysis. The ideal candidate should be able to work with repetitive video footage while maintaining consistent accuracy and productivity.

Why Join SAI?

  • Opportunity to work with advanced AI-powered retail analytics technology.
  • Practical exposure to computer vision and intelligent surveillance systems.
  • Professional training in video analysis and quality assurance.
  • Opportunities for career growth into Senior Video Analyst, Quality Analyst, Team Leader, and Operations Supervisor roles.

SAI | Video Analytics & Quality Assurance Team

Helping retailers make smarter, data-driven operational decisions through AI-powered intelligence.

Originally posted on Himalayas

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