Data Platform Engineer (Python)

What if your Python expertise could directly shape the infrastructure powering the world's most advanced AI systems? We're looking for a Senior Python Full-Stack Engineer to design and build the data pipelines, annotation tooling, and evaluation infrastructure that leading AI labs depend on to train and improve next-generation models.

This is a fully remote, flexible contract role for experienced engineers who want to work on real production systems — not toy projects — at the cutting edge of AI development.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 20–40 hours/week

• 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-grade fixes
• Participate in synchronous design reviews to iterate on architecture and implementation decisions

• 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 for managing complex dependency graphs
• Experienced with dataframe processing libraries and cloud data warehouse integrations via Python SDKs
• Able to commit 20–40 hours per week with reliability and consistency

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

• Work directly with leading AI labs on systems that influence how next-generation models are built
• Fully remote and flexible — work from anywhere, on a schedule that suits you
• Tackle genuinely hard, high-impact engineering problems — not maintenance tickets
• Collaborate with a sharp, distributed team of engineers and researchers
• Potential for ongoing work and contract extension as new projects launch