Описание
Join the core team at Eclipse, where we’re building an AI agent-first marketplace that connects intelligence with real-world tasks, starting with data collection and labeling. We are seeking a Data Scientist to establish the foundation for how our data is labeled, processed, and prepared for consumption by next-generation Large Language Models (LLMs). Your work will be critical in transforming our raw data collections into valuable, AI-ready datasets.
Qualifications
Proven experience as a Data Scientist or Machine Learning Engineer with a focus on data quality and preparation.
Strong understanding of data labeling methodologies and hands-on experience with data annotation platforms and workflows.
Demonstrated experience preparing datasets for training and fine-tuning Large Language Models (LLMs), including knowledge of techniques like tokenization, embeddings, and NER.
Proficiency in Python and common data science libraries (e.g., Pandas, NumPy, Scikit-learn, spaCy, Hugging Face).
Experience using APIs/SDKs to automate data annotation and active learning loops.
Excellent communication skills, with an ability to create clear documentation for technical and non-technical audiences.
Responsibilities
Develop Data Labeling Strategies: Design and document a formal data annotation strategy, including clear, scalable, and efficient guidelines for labeling our data. Define and enforce quality metrics, including inter-annotator agreement.
Optimize for LLM Consumption: Resea
Контакты работодателя (email/phone/telegram) скрыты из публичного превью —
отправьте резюме, чтобы мы связали вас напрямую.