Data Engineer

Data Engineer (Coding Agent Experience) [$80/hr] About The Role Contributors help evaluate and improve frontier AI coding models through structured technical assessments The work focuses on realistic data engineering workflows and model evaluation Spots are limited and filling quickly on a first come, first serve basis Role Responsibilities Use frontier AI coding agents to complete and evaluate complex data engineering tasks Review model-generated implementations involving ETL pipelines, data warehouses, analytics platforms, and distributed data systems Identify bugs, edge cases, scalability issues, and failure modes Compare outputs from multiple frontier models and assess their strengths and weaknesses Apply professional engineering judgment to realistic data engineering scenarios Time Commitment Sprint based project that runs in 12-24 hour stretches based on client requirement. Good Candidature 2+ years of professional data engineering experience Experience building ETL pipelines, data warehouses, analytics platforms, or distributed data systems Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools Ability to evaluate model-generated data infrastructure and pipeline implementations Experience operating large-scale data platforms is preferred Compensation $400 per accepted task Typical tasks take approximately 2-3 hours after ramp-up Compensation is tied to accepted work

Contributors will evaluate and improve frontier AI coding models through structured technical assessments. The role involves reviewing model-generated implementations and identifying issues in data engineering tasks.

Candidates should have at least 2 years of professional data engineering experience and familiarity with AI coding agents. Experience in building ETL pipelines and evaluating data infrastructure is also required.

Identified from the job description. Confirm important requirements above.

• Data Engineering
• ETL Pipelines
• Data Warehouses
• Analytics Platforms
• Distributed Data Systems
• AI Coding Agents
• Model Evaluation
• Bug Identification
• Scalability Issues
• Data Infrastructure
• Pipeline Implementations
• Large-Scale Data Platforms

• Technology
• Data & Analytics
• Software

Minimum experience

2+ years

Posting language

English

Working hours

40 hours per week

Seniority

Mid-Senior level

Application method

Direct apply is available