Data Platform Engineer (Python)

Alignerr is seeking a Senior Python Full-Stack Engineer to design and build data pipelines and evaluation systems for advanced AI systems. The role involves optimizing high-performance Python systems and collaborating with various teams to support model training and evaluation workflows.

Responsibilities:

• Design, build, and optimize high-performance Python systems supporting 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, and implement scalable, production-ready fixes
• Participate in synchronous design reviews to iterate on system architecture and implementation decisions

Requirements:

• Native or fluent English speaker with clear written and verbal communication skills
• Full-stack developer with a strong systems programming background
• 5+ years of professional experience writing production Python for data engineering
• Proficient with workflow orchestration tools to manage complex dependency graphs
• Experienced with dataframe processing libraries and cloud data warehouse SDKs in Python
• Self-directed and reliable — able to commit 20–40 hours per week and deliver consistently
• Prior experience with data annotation, data quality, or model evaluation systems
• Familiarity with AI/ML workflows, model training pipelines, or benchmarking infrastructure
• Experience with distributed systems or developer tooling
• Background working with or alongside AI research teams