Data Platform Engineer (Python)

About The Role

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

This is a fully remote contract role working on real production systems — not toy projects. You'll be embedded alongside data, research, and engineering teams doing meaningful, high-visibility work at the frontier of AI development.

* Organization: Alignerr

* Type: Hourly Contract

* Location: Remote

* Commitment: 20–40 hours/week

What You'll Do

* Design, build, and optimize high-performance Python systems supporting large-scale AI data pipelines and evaluation workflows

* Develop full-stack tooling and backend services for data annotation, validation, and quality control

* Identify and fix bottlenecks, edge cases, and reliability issues across production Python codebases

* Collaborate directly with data, research, and engineering teams to support model training and benchmarking

* Participate in synchronous design reviews to iterate on architecture and implementation decisions

* Improve performance, safety, and scalability across existing infrastructure

Who You Are

* Native or fluent English speaker with clear written and verbal communication skills

* 5+ years of professional experience writing production-grade Python for data engineering

* Strong full-stack developer background with solid systems programming fundamentals

* Proficient with workflow orchestration tools for managing complex dependency graphs

* Experienced with dataframe processing libraries and cloud data warehouse SDKs

* Able to commit reliably to 20–40 hours per week

Nice to Have

* 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

Why Join Us

* Work on cutting-edge AI projects alongside leading research labs at the frontier of the field

* Fully remote and flexible — work from wherever you do your best thinking

* Freelance autonomy with the structure and consistency of meaningful, ongoing technical work

* Make a direct, tangible impact on the systems that shape how AI models learn and improve

* Potential for extended engagement and expanded scope as projects evolve