Data Scientist – AI Data, LLM Specialist

🕒 November 7, 2025

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 53%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Eclipse Labs

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2022

💳 Fintech

₿ Crypto

🎮 Gaming

💰 $9M Seed Round on 2022-09

Fintech • Crypto • Gaming

Eclipse Labs is a pioneering software company building Ethereum's first layer-2 solution utilizing the Solana Virtual Machine (SVM). This innovative approach aims to combine the speed of Solana with the security of Ethereum, creating a powerful platform for decentralized applications. Eclipse Labs focuses on enhancing the user experience and scalability for developers, facilitating seamless integration of applications across both Ethereum and Solana ecosystems.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• 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