Backend Developer - Data Annotation Systems

What You'll Do

• Design, build, and optimize high-performance Python systems supporting large-scale AI data pipelines and model evaluation workflows
• Develop full-stack tooling and backend services for data annotation, validation, and quality control at scale
• Build and maintain asynchronous task queues to handle long-running background jobs reliably
• Optimize database queries for high-read/write workloads and serve data via real-time protocols including WebSockets
• Improve reliability, performance, and safety across existing production Python codebases
• Collaborate with data scientists, researchers, and engineers to support model training and evaluation workflows
• Identify bottlenecks and edge cases across data systems and implement scalable, production-grade fixes
• Participate in synchronous design and code reviews to drive sound architectural decisions

Who You Are

• 3–5+ years of professional experience writing production-grade Python
• Strong full-stack developer with a solid systems programming background
• Experienced building asynchronous task queues and background job systems
• Proficient in optimizing database queries for high-throughput applications
• Comfortable serving and consuming real-time data via WebSockets or similar protocols
• Clear, precise written and verbal communicator — you can articulate technical decisions well
• Native or fluent English speaker
• Able to commit 20–40 hours per week consistently

Nice to Have

• Prior experience with data annotation platforms, data quality systems, or model evaluation infrastructure
• Familiarity with AI/ML workflows, model training pipelines, or benchmarking systems
• Experience designing or maintaining distributed systems
• Background in developer tooling or internal platform engineering