Data Engineer – AI Model Training | Remote

About this role

Data Engineer AI Model Training
Work Snapshot

• Job Type: Contract
• Location: Remote
• Compensation: $0 $150 per hour
• Level: Associate

Roles & Responsibilities

• Evaluate AI-generated data engineering content for technical accuracy, scalability, reliability, and production-readiness
• Review AI-generated analyses, explanations, pipeline designs, SQL queries, orchestration workflows, and implementation recommendations related to modern data engineering systems
• Challenge advanced AI systems with realistic Data Engineer prompts involving SQL optimization, Python workflows, ETL/ELT architecture, orchestration, warehouse/lakehouse design, and production data reliability
• Analyze AI-generated solutions involving data pipelines, distributed systems, batch and streaming workflows, schema design, transformation logic, observability, and analytics-ready datasets
• Identify technical inaccuracies, inefficient implementations, weak assumptions, missing constraints, scalability risks, unreliable workflows, and unsafe recommendations in AI-generated data engineering outputs
• Review and refine AI-generated prompts, responses, reference solutions, evaluation rubrics, and implementation guidance to ensure alignment with senior-level data engineering best practices
• Evaluate whether AI outputs appropriately account for data quality, schema evolution, pipeline reliability, lineage tracking, orchestration dependencies, performance optimization, and operational maintainability
• Assess AI-generated reasoning related to warehouse modeling, transformation strategies, distributed data processing, observability tooling, data contracts, and production debugging workflows
• Interpret and assess data engineering artifacts including SQL transformations, orchestration DAGs, pipeline configurations, warehouse schemas, lineage models, validation checks, and infrastructure workflows
• Compare and rank multiple AI-generated data engineering responses based on correctness, effi...