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, flexible contract role for an experienced engineer who wants meaningful, high-impact work at the cutting edge 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 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, then implement scalable, production-ready fixes
Participate in synchronous design reviews to iterate on architecture and implementation decisions
Who You Are
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-grade Python for data engineering
Proficient with workflow orchestration tools for managing complex dependency graphs
Experienced with dataframe processing libraries and cloud data warehouses via Python SDKs
Self-directed and reliable — able to commit 20–40 hours per week consistently
Nice to Have
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
Why Join Us
Work on production systems and high-impact workflows directly used by leading AI research labs
Fully remote and flexible — work when and where you do your best work
Freelance autonomy with the structure of real, meaningful engineering challenges
Contribute to AI infrastructure that shapes the future of model development at scale
Potential for ongoing work and contract extension as projects grow and evolve

Work arrangement
Yes