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Language Engineer (AI)
86 500 - 151 400$
Описание вакансии
Текст:
TL;DR
Language Engineer (AI): Developing diverse datasets to train and evaluate AI models with an accent on synthetic data generation, model-supported data generation, and human-in-the-loop data collections. Focus on innovation and advancing the state-of-the-art in evaluating and training AI models.
Location: Must be based in the USA
Salary: 86,500.00 - 151,400.00 USD annually
Company
strives to be the world’s most customer-centric company, where customers can research and purchase anything they might want online or offline.
What you will do
- Design complex data collections with human participants, including authoring instructions and defining quality targets.
- Design and conduct complex data creation tasks using synthetic and model-based data generation methods.
- 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 the performance of AI models.
Requirements
- Experience owning and executing language data collection projects, including guidelines and annotation workflow development.
- Master's or higher degree in Computational Linguistics or equivalent field with computational analysis.
- 2+ years of experience in computational linguistics, language data processing, or AI data creation.
- Experience with language data annotation systems and other forms of data markup.
- Proficient with scripting languages such as Python.
- Experience working with speech, text, and multimodal data in multiple languages.
Nice to have
- 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 and technical concepts such as API.
Culture & Benefits
- Comprehensive benefits including health insurance, 401(k) matching, paid time off, and parental leave.
- Inclusive culture that empowers ians to deliver the best results for customers.
- Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage.
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