Data Accuracy Specialist

Trans Perfect Is More Than Just a Job…

Our greatest asset is our people, and nothing is more important to us than ensuring that everyone knows that. Each of our 100+ offices has its own individual identity, and each also has its own unique rewards.

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.

• Evaluate and rate the quality of various types of data based on predefined guidelines and criteria.
• Perform data analysis and preference activities, including but not limited to analyzing responses of different models.
• Perform data and app testing and validation to ensure accuracy and consistency.
• 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.

• Exceptional communication skills – being able to communicate important project updates both verbally and in writing
• Excellent Analytical and critical thinking skills – the ability to analyze a situation and plan and implement a solution
• Strong organizational skills and the ability to work under pressure and manage tasks effectively.
• Problem-solving skills – effective analysis and creative solutions for any problems that might arise
• Basic understanding of data concepts and data entry procedures.
• Ability to follow guidelines and instructions accurately.
• Openness to learning and adapting to evolving data quality standards.
• Previous experience in data quality assessment or a related field is a plus.
• Knowledge of specific industry standards or terminology related to data quality is advantageous.
• Comfortable working with data and using relevant software / tools.

• Minimum Bachelor’s degree or its equivalent.
• Fluency in English (UK) is required, and being a native speaker is an added advantage.

• Attention to detail, past experience in delivering QA services or user testing.
• Passion for Large Language Models and related innovations.
• Experience in software / app testing is considered an added advantage.
• Experience working in a multinational / multicultural virtual working environment.
• Experience in working in a cross-functional / matrix organization.
• Fluency in a language other than English is a plus.