Localization Academy

QA Analyst

⚠️ This job was posted more than 2 weeks ago and may no longer be active

About us:

e2f is a leading innovator in data and language operations providing highly customizable tech solutions for digital content.

Today’s global marketplace has brought the demand for e2f’s services to an all-time high, and the company helps hundreds of clients cater their businesses to a worldwide audience.

e2f has a presence on five continents worldwide, providing high-quality, data and content services in hundreds of languages.


Are you a seasoned Quality Analyst with a passion for precision and a knack for exceeding expectations? Join e2f and play a pivotal role in driving our Localization and Data Services projects to new heights of quality and accuracy.

As a key member of our team, you will spearhead our efforts to maintain the highest standards of excellence in every aspect of our operations. We’re seeking a candidate who thrives in a fast-paced environment, with a keen eye for detail and a commitment to continuous improvement.


  • Execute end-to-end QA processes for a wide range of Localization and Data Services projects.
  • Initiate and execute planned verifications and tests, making adjustments for scalability, functionality, and usability.
  • Report quality issues (quality process or performance).
  • Analyze and evaluate statistical reports to proactively identify and improve individual and team results, to improve client satisfaction.
  • Make recommendations for revisions or improvements, based on client feedback.
  • Reports time and other process performance data on a daily basis as required.
  • Support the Quality Team with other tasks and projects as needed.


  • At least 1-2 years of professional work experience, ideally in a similar role.
  • University degree or equivalent experience.
  • Familiarity with AI Data Services – data labeling and annotation, written and spoken data collection for training and testing AI models.
  • Excellent verbal and written English communication skills.
  • Solid understanding and hands-on practice of QA models.
  • Hands-on knowledge & experience with computer-aided translation (CAT) tools as well as Translation Management Systems.
  • Excellent web research skills and analytical abilities.
  • Strong analysis and autonomous problem discovery and solving skills.
  • Positive can-do attitude.
  • Must be a self-starter, self-motivated and capable of working independently as well as part of a team.
  • High attention to detail and accuracy.