Data Platform Engineer (Python)

About The Job Alignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. We work on real production systems and high-impact research workflows across data, tooling, and infrastructure.

Position Senior Python

Full-Stack Engineer — AI Data & Infrastructure Type: Contract, Remote Commitment: 20–40 hours/week Compensation: Competitive, hourly (based on experience) Role Responsibilities Design, build, and optimize high-performance systems in Python 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 fixes

Participate in synchronous reviews to iterate on system design and implementation decisions Qualifications Must-Have Native or fluent English speaker

Full-stack developer experience with a strong systems programming background

5+ years of professional experience writing production Python for data engineering.

Proficiency with workflow orchestration tools to manage complex dependency graphs.

Strong experience with data frame processing libraries and interacting with cloud data warehouses via Python SDKs.

Clear written and verbal communication skills.

Ability to commit 20–40 hours per week.

Preferred

Prior experience with data annotation, data quality, or evaluation systems

Familiarity with AI/ML workflows, model training, or benchmarking pipelines

Experience with distributed systems or developer tooling Application Process Submit your resume

Complete a short technical screening

Project matching and onboarding