Amazon Development Center (Netherlands) B. V.
Technology
AILanguageEngineer,ArtificialGeneralIntelligence
“AI Language Engineer, Artificial General Intelligence at Amazon Development Center (Netherlands) B. V.. Skills: Language Engineering, Data Services, AI Models. Design complex data collections with human participants. Author instructions”
Industry & Context.
Analytical; Problem solving
What They're Looking For.
Must Have
Advanced degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field, Experience with language annotation and other forms of data markup, Knowledge of one or more scripting languages (e. g. , Python, Ruby, Perl), 2+ years experience in computational linguistics or language data processing or AI data creation, Experience working with speech, text, and multimodal data in multiple languages, Excellent communication, organizational skills and very detailed oriented, Comfortable working in a fast paced, highly collaborative, dynamic work environment
Nice to Have
Experience with database queries and data analysis processes (SQL, R, MATLAB, etc. ), or Unix, PhD in Computational Linguistics (or equivalent field with computational emphasis), Expertise in bootstrapping AI data collections for quickly evolving requirements, Extensive experience working with speech, text, and multimodal data in multiple languages, Experience in data creation for complex agentic workflows, Practical experience with Machine Learning, Familiarity with technical concepts such as APIs, Practical knowledge of version control and agile development, Willingness to support several projects at one time, and to accept reprioritization as necessary, Able to think creatively and possess analytical and problem solving skills
What You'll Do.
Design complex data collections with human participants
Define quality targets and mechanisms
Implement quality targets and mechanisms
Provide day-to-day coordination of data collection efforts
Schedule data collection
Report on data collection
Be responsible for final deliverables
Design complex data creation tasks using synthetic and
Conduct complex data creation tasks using synthetic and
Analyze large amounts of data
Extract insights from large amounts of data
Build tools for data analysis
Build tools for data creation
Build tool prototypes for data analysis
Build tool prototypes for data creation
Use modeling tools to bootstrap new AI functionalities
Use modeling tools to test new AI functionalities
Collaborate with scientists
Evaluate performance of AI models
How You'll Work.
Team & Collaboration
Cross-functional teams; Product managers; Engineers; Data scientists
Communication Scope
Excellent communication
Process & Methodology
Agile development
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