Big Data Engineer, Part-Time AI Data Engineering - Remote (United States)

Role overview Use data engineering expertise to create and assess tasks that help improve AI systems’ ability to work with data. This is flexible, part-time remote contract work focused on realistic pipeline and database challenges, expert solutions, and clear analysis of model shortcomings.

Responsibilities - Create practical data engineering tasks involving large-scale pipelines and data integration. - Review AI-generated approaches to Python-based processing and distributed data systems. - Develop expert solutions for database optimization and data warehousing problems. - Identify and explain weaknesses in reliability and data quality. - Provide technical judgment that helps assess how well AI handles real data engineering work.

Requirements - Hands-on experience developing and maintaining large-scale data pipelines. - Advanced Python skills for automating and integrating data processing. - Strong knowledge of relational and NoSQL databases. - Experience with distributed processing frameworks such as Hadoop, Spark, or Flink. - Professional English fluency; prior AI training experience is not required.

Benefits and work setup - Remote, part-time work available to candidates in the United States. - Flexible schedule without fixed shifts. - Independent contractor compensation of $30–$80 per hour.