Data Scientist (AI Data & LLM Specialist) jobs in United States
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Eclipse Labs · 2 months ago

Data Scientist (AI Data & LLM Specialist)

positionUnited States
timeFull-time
remoteRemote
seniorityMid Level

Eclipse is building an AI agent-first marketplace that connects intelligence with real-world tasks. They are seeking a Data Scientist to establish data labeling and processing foundations for next-generation Large Language Models (LLMs), transforming raw data into AI-ready datasets.

BlockchainEthereum
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H1B Sponsor Likelynote

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: 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

Qualification

Data Scientist experienceLarge Language ModelsPython proficiencyData labeling methodologiesData annotation platformsAPIs/SDKs usageCommunication skills

Required

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

Preferred

Experience with audio data processing and relevant libraries
Familiarity with data annotation platforms and tools
Knowledge of modern MLOps principles and practices
Experience with large language model data curation and Reinforcement Learning from Human Feedback (RLHF) pipelines

Benefits

Competitive salary
Equity
Benefits package

Company

Eclipse Labs

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Eclipse is a L2 blockchain startup based in San Francisco, founded in 2022. Launching in Q2 2024, Eclipse Mainnet is Ethereum's first SVM Layer 2.
dateFounded in 2022
location
San Francisco, California, USA
people-size11-50 employees
web-link
https://www.eclipse.xyz

H1B Sponsorship

Eclipse Labs has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2024 (1)
2022 (2)

Funding

Current Stage
Early Stage
Total Funding
$65M
Key Investors
Polychain
2024-03-11Series A· $50M
2022-09-27Seed· $9M
2022-09-27Pre Seed· $6M

Leadership Team

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Sydney Huang
Interim CEO
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