AlignerrAbout The Role 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.
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, and implement scalable, production-grade 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 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 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 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
Interested in this role?