Data Platform Engineer (Python)
Role summary
Alignerr is seeking a Senior Python Full-Stack Engineer for a fully remote, flexible contract role. The engineer will design, build, and optimize Python systems for AI data pipelines, annotation tooling, and evaluation infrastructure. Responsibilities include developing full-stack tooling, backend services for data annotation and quality control, improving system reliability and performance, and collaborating with data, research, and engineering teams. The role requires 5+ years of production Python experience for data engineering, proficiency with workflow orchestration tools, and experience with dataframe processing and cloud data warehouse integrations. Familiarity with AI/ML workflows, distributed systems, or developer tooling is a plus.
About 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.
- 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, 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