Evi Technologies Limited
Technology
LanguageEngineer,ArtificialGeneralIntelligence
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Language Engineer, Artificial General Intelligence at Evi Technologies Limited. Skills: Language engineering, Data services, AI models. Design complex data collections. Author instructions”
Industry & Context.
Problem solving skills
What They're Looking For.
Must Have
Master's or higher degree, 2+ years experience, Experience with language data annotation systems, Proficient with scripting languages, Experience working with speech, text, and multimodal data
Nice to Have
PhD in Computational Linguistics, Expertise in bootstrapping AI data collections, Extensive experience working with speech, text, and multimodal data, 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, Practical knowledge of agile development, Familiarity with database queries, Familiarity with data analysis processes, Willingness to support several projects, Able to think creatively, Possess analytical skills, Possess problem solving skills
What You'll Do.
Design complex data collections
Define quality targets
Implement quality mechanisms
Coordinate data collection efforts
Schedule data collection
Report on data collection
Be responsible for final deliverables
Design data creation tasks
Conduct data creation tasks
Extract insights from data
Build tools for data analysis
Build tools for data creation
Bootstrap AI functionalities
Test AI functionalities
Evaluate performance of AI models
How You'll Work.
Team & Collaboration
Cross-functional teams; Product managers; Engineers; Data scientists; Scientists; Software engineers; Data creators
Process & Methodology
Agile development
Full Job Description
The Amazon Artificial General Intelligence (AGI) Data Services organization is responsible for developing diverse datasets to train and evaluate the Amazon AI models. We are looking for Language Engineers to join our science and engineering team to support the development of complex, multimodal datasets, using a range of approaches including synthetic data generation, model-supported data generation, and human-in-the-loop data collections. You will play a critical role in driving innovation and advancing the state-of-the-art in evaluating and training AI models. You will work closely with cross-functional teams, including product managers, engineers, and data scientists to ensure that our AI systems are best in class. Key job responsibilities - Design complex data collections with human participants in response to science needs: author instructions, define and implement quality targets and mechanisms, provide day-to-day coordination of data collection efforts (including planning, scheduling, and reporting), and be responsible for the final deliverables - Design and conduct complex data creation tasks using synthetic and model-based data generation methods, following state-of-the-art approaches - Analyze and extract insights from large amounts of data - Build tools or tool prototypes for data analysis or data creation, using Python or another scripting language - Use modeling tools to bootstrap or test new AI functionalities - Collaborate with scientists, software engineers, and other data creators to evaluate performance of AI models About the team Amazon strives to be the world’s most customer-centric company, where customers can research and purchase anything they might want online or offline. We set big goals and are looking for people who can help us reach and exceed them. The AGI organization provides AI capabilities for a variety of Amazon products and searches. We provide secure, flexible, cost effective, and high-quality data development services to our cust
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