Data Scientist: ML Data Labeling for Blockchain AI

Eclipse; United States; Remote; USD 120,000 - 170,000; Full time

Job summary

Eclipse is seeking a Data Scientist to focus on data labeling and preparation for Large Language Models within a blockchain context. You will develop labeling strategies and optimize data formats to support model training and improve data quality across ML pipelines.

Collaborate with the engineering team to implement data infrastructure for ML, establish automated data quality checks, and contribute to scalable AI solutions that enhance blockchain applications such as Ethereum.

Qualifications

• Experience in data quality for ML pipelines.
• Experience with data labeling and preparation for LLMs.

Responsibilities

• Develop data labeling strategies for Large Language Models.
• Optimize data formats for model training.
• Collaborate with the engineering team to implement data infrastructure for ML.
• Establish automated data quality analysis processes to support scalable AI workflows.

Job description

Eclipse is seeking a Data Scientist to focus on data labeling and preparation for Large Language Models within a blockchain context. You will develop labeling strategies and optimize data formats to support model training and improve data quality across ML pipelines.

Collaborate with the engineering team to implement data infrastructure for ML, establish automated data quality checks, and contribute to scalable AI solutions that enhance blockchain applications such as Ethereum.