Establish data labeling strategies and optimize data formats for Large Language Models, transforming raw data into AI-ready datasets while collaborating closely with engineering teams.
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.
Eclipse is building the fastest Ethereum Layer 2, powered by the Solana VM. Our general-purpose L2 combines the best of the modular stack without sacrificing UX or fragmenting liquidity. On top of this foundation, we’re building apps in-house and iterating quickly to find breakout consumer and AI experiences. We’re backed by top investors including Polychain, Tribe Capital, Placeholder, and DBA.
Eclipse Laboratories is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, genetic information, veteran status, or any other status protected by applicable laws or regulations. All employment decisions are based on qualifications, merit, and business need.
Eclipse is a Layer 2 solution that integrates the speed and efficiency of Solana with the liquidity and ecosystem of Ethereum. We’re building an execution environment that caters to developers looking for high-performance applications across DeFi, gaming, and consumer markets, which allows for rapid development and deployment. By optimizing for user experience and transaction costs, Eclipse stands out as a compelling option for scalable blockchain solutions.
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