Data Platform Engineer (Python)

Role Overview

You’ll be a Data Platform Engineer (Python) working on high-performance Python systems that power AI data pipelines, data annotation tooling, and model evaluation infrastructure. This is a fully remote, flexible contract role (20–40 hours/week) for engineers who want to build production systems at the cutting edge of AI development.

What You’ll Do

• Design, build, and optimize Python systems for AI data pipelines and evaluation workflows
• Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control
• Improve reliability, performance, and safety across existing Python codebases
• Collaborate with data, research, and engineering teams to support model training and evaluation workflows
• Identify bottlenecks and edge cases in data and system behavior; implement scalable, production-grade fixes
• Participate in synchronous design reviews to iterate on architecture and implementation decisions

Requirements

• Fluent/native English with clear written and verbal communication
• Full-stack developer with a strong systems programming background
• 5+ years of production Python experience for data engineering
• Proficiency with workflow orchestration tools for complex dependency graphs
• Experience with dataframe processing libraries and cloud data warehouse integrations via Python SDKs
• Ability to reliably commit 20–40 hours/week

Nice to Have

• Prior experience with data annotation, data quality pipelines, or evaluation systems
• Familiarity with AI/ML workflows such as model training or benchmarking infrastructure
• Experience with distributed systems or developer tooling

Contract Details

• Type: Hourly contract
• Location: Remote
• Commitment: 20–40 hours/week
• Potential for ongoing work/extension as new projects launch