
5001 - 10000 employees
š¼ Consulting
š„ Healthcare
āļø Legal
Consulting ⢠Healthcare ⢠Legal
RWS Group is a leading provider of AI-powered language services and technology, specializing in translation and localization for a variety of industries. With a focus on enhancing global communication, RWS offers solutions that improve translation quality, manage multilingual content, and streamline the localization process. Their services cater to sectors such as aerospace, finance, legal, life sciences, and technology, leveraging advanced AI to ensure clients can effectively connect across languages and cultures.
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5001 - 10000 employees
š¼ Consulting
š„ Healthcare
āļø Legal
Consulting ⢠Healthcare ⢠Legal
RWS Group is a leading provider of AI-powered language services and technology, specializing in translation and localization for a variety of industries. With a focus on enhancing global communication, RWS offers solutions that improve translation quality, manage multilingual content, and streamline the localization process. Their services cater to sectors such as aerospace, finance, legal, life sciences, and technology, leveraging advanced AI to ensure clients can effectively connect across languages and cultures.
⢠Support quality assurance across AI data projects by improving processes, automating quality checks, and monitoring data accuracy ⢠Develop and maintain testing frameworks, evaluation datasets, and quality metrics ⢠Investigate quality issues, identify root causes, and implement corrective actions ⢠Establish and maintain quality standards, frameworks, and auditing processes across projects ⢠Monitor contributor and team performance and provide insights and recommendations ⢠Partner with Data Engineering, AI Engineering, and Solutions teams to embed quality controls and reporting into workflows ⢠Track quality and performance metrics, identify risks, and support continuous improvement initiatives ⢠Stay informed on AI industry trends and contribute ideas to enhance quality programs and best practices
⢠3+ years of experience in Quality Assurance, Data Quality, or AI Operations ⢠Working knowledge of Python and SQL for data analysis, reporting, and automation ⢠Experience supporting AI/ML data projects, including data annotation, evaluation, or training data programs ⢠Strong analytical skills to identify quality issues, trends, and improvement opportunities ⢠Excellent English communication skills ⢠Experience collaborating with global, cross-functional teams ⢠Degree in Data Analytics, Computer Science, Statistics, Linguistics, Psychology, or a related field (nice to have) ⢠Experience with Power BI, Tableau, or Looker (nice to have) ⢠Familiarity with remote or crowdsourced workforce management (nice to have)
⢠Equal Opportunity Employer ⢠Work environment free of discrimination and harassment ⢠Opportunities for employees to grow as individuals and excel in their careers ⢠Inclusive workplace valuing diversity and different languages and cultures
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