Senior Python Full-Stack Engineer — AI Data & Infrastructure
About The Role
What if your Python expertise could directly shape the infrastructure behind the world's most advanced AI systems? 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 next-generation models.
This is a fully remote contract role with meaningful technical challenges, flexible hours, and the opportunity to work on production systems that sit 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 at scale
• Improve the reliability, performance, and safety of existing Python codebases
• Collaborate with data, research, and engineering teams to support model training and evaluation infrastructure
• 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
• Deep understanding of performance optimization and concurrency — asyncio, multiprocessing, threading
• Comfortable with type safety tooling such as Pydantic and mypy
• Experienced building robust backend services (FastAPI, Django, or similar) or scalable data pipelines
• Able to commit 20–40 hours per week with 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
• Background working alongside research or applied ML teams
Why Join Us
• Work directly on production AI infrastructure used by leading research labs
• Fully remote and flexible — work from anywhere on a schedule that suits you
• Freelance autonomy paired with technically meaningful, high-impact work
• Collaborate with sharp engineers and researchers at the cutting edge of AI
• Potential for ongoing work and contract extension as projects evolve and expand
What if your Python expertise could directly shape the infrastructure behind the world's most advanced AI systems? 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 next-generation models.
This is a fully remote contract role with meaningful technical challenges, flexible hours, and the opportunity to work on production systems that sit 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 at scale
• Improve the reliability, performance, and safety of existing Python codebases
• Collaborate with data, research, and engineering teams to support model training and evaluation infrastructure
• 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
• Deep understanding of performance optimization and concurrency — asyncio, multiprocessing, threading
• Comfortable with type safety tooling such as Pydantic and mypy
• Experienced building robust backend services (FastAPI, Django, or similar) or scalable data pipelines
• Able to commit 20–40 hours per week with 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
• Background working alongside research or applied ML teams
Why Join Us
• Work directly on production AI infrastructure used by leading research labs
• Fully remote and flexible — work from anywhere on a schedule that suits you
• Freelance autonomy paired with technically meaningful, high-impact work
• Collaborate with sharp engineers and researchers at the cutting edge of AI
• Potential for ongoing work and contract extension as projects evolve and expand