Backend Developer - Data Annotation Systems
Backend Developer — Data Annotation Systems (AI Infrastructure)
About The Role
What if your Python expertise could directly shape the infrastructure behind the world's most advanced AI models? We're looking for a Senior Python Full-Stack Engineer to design and build 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, flexible contract role for an experienced engineer who wants to work on real production systems at the cutting edge of AI development — not toy projects, but infrastructure that matters.
• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 20–40 hours/week
What You'll Do
• Design, build, and optimize high-performance Python systems that support 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
• 3–5+ years of professional experience writing production-grade Python
• Experienced building asynchronous task queues for long-running background jobs
• Proficient in optimizing database queries for high-read/write workloads and serving data via real-time protocols (e.g., WebSockets)
• 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 internal developer tooling
Why Join Us
• Work directly with leading AI research labs on production-grade, high-impact systems
• Fully remote and flexible — work from anywhere on a schedule that suits you
• Freelance autonomy with the structure and focus of meaningful, substantive engineering work
• Make a direct, tangible contribution to the infrastructure shaping the future of AI
• Potential for ongoing work and contract extension as new projects launch
Apply tot his job
Apply To this Job
About The Role
What if your Python expertise could directly shape the infrastructure behind the world's most advanced AI models? We're looking for a Senior Python Full-Stack Engineer to design and build 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, flexible contract role for an experienced engineer who wants to work on real production systems at the cutting edge of AI development — not toy projects, but infrastructure that matters.
• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 20–40 hours/week
What You'll Do
• Design, build, and optimize high-performance Python systems that support 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
• 3–5+ years of professional experience writing production-grade Python
• Experienced building asynchronous task queues for long-running background jobs
• Proficient in optimizing database queries for high-read/write workloads and serving data via real-time protocols (e.g., WebSockets)
• 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 internal developer tooling
Why Join Us
• Work directly with leading AI research labs on production-grade, high-impact systems
• Fully remote and flexible — work from anywhere on a schedule that suits you
• Freelance autonomy with the structure and focus of meaningful, substantive engineering work
• Make a direct, tangible contribution to the infrastructure shaping the future of AI
• Potential for ongoing work and contract extension as new projects launch
Apply tot his job
Apply To this Job