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TransPerfect Translations Inc. is hiring a

Data Accuracy Specialist - London (Hybrid)

London, United Kingdom

Work Location: London, United Kingdom (Hybrid)

Work Schedule: Monday – Friday during regular business hours

Engagement Model: 12 months (approx) Temporary Employment

Languages Needed: English

Start Date:TBD


TransPerfect is seeking a highly motivated and detail-oriented individual to join our DataForce department as a Data Accuracy Specialist. As a Data Accuracy Specialist, you will play a crucial role in ensuring the accuracy and quality of our data.


Role Summary

The role of the Data Accuracy Specialist involves close collaboration with clients to assess AI model outputs and determine preferred responses using the customer's set of criteria. Additionally, the specialist aids the client team in diverse activities, including crafting training materials, enhancing skills, and subjecting their existing application to usability testing, which will eventually be rolled out to other testers.

The Data Accuracy Specialist encompasses the daily implementation of various assignments delegated by the client team. This includes engaging in stakeholder meetings and training sessions, all while ensuring the punctual fulfillment of task deadlines.

Responsibilities:

  • Evaluate and rate the quality of various types of data, based on predefined guidelines and criteria.
  • Perform data and app testing and validation to ensure accuracy and consistency.
  • Perform data analysis and preference activities, including (but not limited to) analyzing responses of different models.
  • Detect and correct errors, inconsistencies, and inaccuracies in data.
  • Provide clear and concise feedback on data quality to assist in continuous improvement.
  • Collaborate with the data team to report issues and suggest enhancements to data processes.
  • Participate in training sessions to stay updated on rating guidelines and procedures.
  • Maintain accurate records of data evaluations and quality assessments.
  • Contribute to the development and refinement of data quality assessment methodologies.
  • Contribute to the creation of training materials.
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