Quality is the cornerstone of robust AI systems, an essential function that paves the way towards Industry 4.0!

We are looking for fresh minds to join our fast-growing Data Quality Operation Team in the machine learning and artificial intelligence world. Our clients are among the top companies in the world, including Fortune 100 companies. You will be responsible for maintaining seamless quality of data annotation as well as serving as a nexus to drive customer success, and eventually customer retention.

To understand the type of data that we work on, you can check out this link about What is image annotation.


  • Learn annotation platforms completely and demonstrate a deep understanding of image & data annotation process
  • Ensuring top quality on annotated data - reaching 99% accuracy level
  • Understand the operational processes and demonstrate a clear understanding of all tools & protocols
  • Shadow the Team Lead, Project Coordinators, QC Specialist and Associates to understand data quality assurance mechanism and project delivery workflow
  • Meet all KPIs of quality control parameters for assigned projects
  • Maintain transparent communication with Intra team, clients and service partners
  • Prepare necessary reports and documentation on a regular cadence


  • Graduation from a business or technology background. We will appreciate prior knowledge on data / image preprocessing and the annotation process 
  • Professional command over English to communicate effectively with global stakeholders- mostly in the US, UK, and the EU 
  • Deep passion for working in the global artificial intelligence space 
  • Python knowledge is an added advantage

Female candidates are highly encouraged to apply.


This is a full-time position. Office time and workweek is 9 am to 6 pm, Monday to Friday respectively. Our office location is in Mirpur DOHS.


  • Opportunity to experience the global AI space
  • Remuneration: As per the company policy
  • Other Benefits: As per the company policy
  • Festival Bonus: 2

How to apply?

Please lodge your applications by filling out this Google form.

Application Deadline: 17 September 2023