Note: The job is a remote job and is open to candidates in USA. Codefeast is seeking a Data Engineer to support AI training and evaluation workflows. The role involves working with datasets and data pipelines, reviewing data quality, creating and validating processing tasks and evaluation datasets, and providing feedback to improve LLM performance.
Responsibilities
- Contribute to LLM training and evaluation workflows by working with datasets, data pipelines, and AI-generated data outputs
- Review data for accuracy, consistency, completeness, quality, and suitability for model training and evaluation
- Create and validate data processing tasks, SQL queries, transformation logic, evaluation datasets, and data quality criteria
- Provide expert feedback to improve data pipelines, dataset quality, and LLM performance across complex data workflows
Skills
- 3–8 years of professional experience in Data Engineering, Data Analytics Engineering, or related roles
- Strong proficiency in Python, SQL, ETL/ELT pipelines, data modeling, and database technologies
- Hands-on experience with cloud data platforms, Spark, Airflow, data warehouses, APIs, or similar technologies
- Experience with or strong interest in LLM training, dataset curation, AI evaluation, data quality, or AI-assisted data workflows
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