We are seeking a Senior Language Engineer to drive efficiencies and innovation in delivering a seamless, fluent, and multilingual experience for AI-assisted services. This is a high-impact role that requires collaboration across global product, design, science, and engineering teams to create scalable language solutions.
We are looking for candidates passionate about the intersection of language and technology who can develop solutions to challenges in the Large Language Model (LLM) space. Using a combination of linguistic expertise (semantics, syntax, pragmatics) and scripting skills, they will solve complex problems in natural language processing and understanding.
This role will focus on designing processes that facilitate the production of high-quality language data, enabling the evaluation and improvement of multilingual AI experiences. Responsibilities include the creation of tools, automation scripts, and workflows for data annotation, as well as the development of intuitive annotation guidelines. The engineer will also analyze productivity and quality metrics to guide teams in achieving desired outcomes.
Strong analytical skills and language technology experience are essential for this role, particularly in automating and scaling data workflows while maintaining the highest linguistic standards. The ideal candidate will also have excellent writing and communication skills, capable of interfacing effectively with both technical and non-technical teams.
Basic Qualifications
- Bachelor’s or Master’s Degree in Applied Linguistics, Computational Linguistics, Natural Language Processing (NLP), or other related field.
- Strong Experience in Natural Language Processing, Machine Learning, or Large Language Models
- Proficient in Python.
- Knowledge of Regex, SQL, MS Excel, Git.
- Ability to navigate a Unix terminal and use common command line tools.
- Familiarity with annotation tools and workflows.
- Excellent communication and strong organizational skills with a keen eye for details.
- Comfortable working in a fast-paced, collaborative, and dynamic work environment.
- Willingness to support several projects at one time and to accept reprioritization as necessary.
Preferred Qualifications
- Master’s Degree or PhD in Applied Linguistics, Computational Linguistics, Natural Language Processing (NLP), or other related technical field.
- Proficient in French, German, Hindi, Italian, Spanish, or Japanese.
- Experience in data science and quantitative research.
- Experience in reporting to VP and C-level stakeholders.
- Experience with language annotation and other forms of data markup.
- Hands-on experience with machine learning and deep learning techniques in the fields of NLP and search.
- Experience with AWS services (S3, Sagemaker, ML language services, etc.).
- Knowledge of user experience concepts and methods.
- Familiarity with online retail (e-commerce).
What we offer
· Attractive remuneration package.
· Private Health Care insurance;
· Growth and learning opportunities;
· Work in a well-established multinational company;
· Hybrid work setup.
About Centific
Centific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients with safe, scalable AI deployment. Our team includes more than 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We harness the power of an integrated solution ecosystem—comprising industry-leading partnerships and 1.8 million vertical domain experts in more than 230 markets—to create contextual, multilingual, pre-trained datasets; fine-tuned, industry-specific LLMs; and RAG pipelines supported by vector databases. Our zero-distance innovation™ solutions for GenAI can reduce GenAI costs by up to 80% and bring solutions to market 50% faster.
Our mission is to bridge the gap between AI creators and industry leaders by bringing best practices in GenAI to unicorn innovators and enterprise customers. We aim to help these organizations unlock significant business value by deploying GenAI at scale, helping to ensure they stay at the forefront of technological advancement and maintain a competitive edge in their respective markets.
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