Company DescriptionTrans Skills is a trusted advisor to many of the Middle Easts most respected organizations and a leading Human Resources Services Firm with an International Network active in 55 countries. Our clients range from the largest corporations to emerging growth companies and government bodies. We work at the highest levels of leadership to create tangible and enduring business impact.Our core services include:- Multi-country Payroll Outsource covering META
- Multi-country Single SaaS Platform
- Executive Search and Specialized Recruitment Services
- Manpower Outsourcing (EOR/PEO)
- HR Digital Transformation
- Psychometric Assessment, Gamified Learning, Coaching and Performance Management The LPR Review Team is responsible for reviewing and validating the data generated by LPR/ ANPR cameras, ensuring the accuracy and performance of AI Systems. The team will support enforcement operations by reviewing captured data and ensuring seamless integration with AI-driven processes.Job Purpose:To validate and ensure the accuracy of data captured by LPR/ ANRP Systems and AI platforms, supporting parking enforcement operations and improving system performance thorugh accurate data analysis.Qualifications1. Review, analyse and validate LPR Data, ensuring the system accurately identifies vehicle license plates and records entry and exit times.2. Identify and address discrepancies in the LPR system, manually reviewing data to correct false positives or missed detections, improving overall system accuracy.3. Collaborate with the System Operations Engineers and Implementation Engineers to adjust camera configurations or AI algorithms based on performance data.4. Provide feedback on AI system performance, suggesting enhancements for AI readiness and error reduction.5. Conduct periodic reviews of the entire LPR data pipeline, ensuring timely and accurate data flow from camera systems to back-end systems.6. Maintain detailed logs and reports of LPR system performance, feeding this information back into the system improvement process.Eligibility:a. Minimum of 2 years of experience working with LPR/ ANPR systems, data review or quality assurance.b. Proven ability to work in a data-driven environment and improve operational accuracy.Education:High School Diploma in Information Systems or a related field.

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