AI – ML Machine Translation Data Engineer A83 – Onsite

AI/ML – Machine Translation Data Engineer

Would you like to play a critical part in the next revolution of human-computer interaction? My Client’s machine translation team is building the groundbreaking technology that enables connecting people across language barriers. We are looking for Data Engineer passionate about designing and developing solution to create scalable and high quality data asset to power MT products.

Key Qualifications:

  • Strong programming and software engineering skills (Python, Java, or equivalent)
  • Ability to analyze large data sets, perform data visualizations, develop hypotheses, and make insightful recommendations
  • Experience at developing linguistic annotation project (e.g. Machine Translation, ASR Transcription, and Natural Language Processing)
  • A self-starter, proven ability to manage multiple projects to strict deadlines.
  • Good communication and documentation skills. ability to interact with all levels of engineers


Machine Translation (MT) is powered by high quality annotations and massive data acquisition. The MT data engineer is instrumental in designing and developing a method, a pipeline, documentation for data extraction, data curation, data annotation, and data analysis and auditing, to create valuable data asset for MT products.

Responsibilities include

  • Develop data extraction, annotation, auditing pipeline to improve MT data annotation efficiency and quality
  • Develop large scale data processing pipeline in distributed computing environments
  • Document development for data asset management
  • Development of annotation project strategies, interfaces, and guidelines
  • Serve as an interface for feedback and questions from annotators back to MT engineers.

Education & Experience

Bachelor’s or Master’s in engineering.

Computer science related area and data science related are preferred 2+ year experience in data analytics and software engineering Experience in linguistic annotation is preferred

Distributed computing experience like Spark and MapReduce preferred

Onsite 3 days per week in any of these locations. Seattle, WA, NYC, NY, Raleigh NC, Pittsburgh PA, Boston MA

For more information contact Jeanne

We offer a referral bonus if you refer a colleague who is hired.  Anzu Global is also actively seeking candidates with experience in Artificial Intelligence AI, Natural Language Processing NLP, Machine Learning ML, and Computational Linguistics.