Data Scientist – AI Data, LLM Specialist

🕒 Novembro 7, 2025

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Eclipse Labs

SiteLinkedInTodas as Vagas

11 - 50 funcionários

Fundada em 2022

💳 Fintech

🎮 Jogos

💰 $9.000.000 Seed Round em 2022-09

Fintech • Blockchain • Gaming

A Eclipse é uma startup de blockchain L2 sediada em São Francisco, fundada por Neel Somani em 2022. Com lançamento previsto para o segundo trimestre de 2024, a Eclipse Mainnet será a primeira SVM Layer 2 da Ethereum. Com uma arquitetura que combina as melhores partes da pilha modular, os desenvolvedores obtêm todos os benefícios de uma capacidade de processamento dedicada, sem as desvantagens. A Eclipse possibilita a construção de aplicações que podem coordenar grandes grupos de pessoas e escalar conforme as necessidades de qualquer desenvolvedor.

Descrição

• 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: Research, define, and prototype the optimal data formats, structures, and pre-processing steps required for fine-tuning and training LLMs on our datasets. • Data Quality Analysis: Establish automated processes and metrics to analyze the quality of both raw and labeled data, providing feedback to improve our data collection and labeling workflows. • Collaborate with Engineering: Work closely with the engineering team to guide the implementation of data processing pipelines and ensure the data infrastructure meets the needs of ML applications.

🎯 Requisitos

• 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.

🏖️ Benefícios

• Opportunity. We believe blockchains should be fast AND highly usable. You’ll do high-impact work to enhance Ethereum’s scalability, shaping the future of crypto • Flexibility. We collaborate synchronously and asynchronously, across weekly all-hands meetings, Slack messaging, and quarterly in-person meetups • Team. Our founding team has experience launching and scaling blue-chip projects such as dYdX, Uniswap, and zkSync. We’re backed by leading funds and leaders including Polychain, Tribe, Placeholder, DBA, Mustafa Al-Bassam, Tarun Chitra, Meltem Demirors, and others • Culture. As an early member of our team, you’ll have a unique opportunity to help shape our culture. We value intellectual honesty, bias towards action, and believe every member plays a key role in achieving our ambitious goals • Compensation. You’ll receive a competitive salary + equity + benefits package