Backend Developer - Data Annotation Systems

* Design, build, and optimize high-performance Python systems supporting large-scale AI data pipelines and evaluation workflows * Develop full-stack backend tooling and 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 such as WebSockets * Improve reliability, performance, and robustness across existing Python codebases * Identify bottlenecks and edge cases in data and system behavior, and implement scalable, production-ready fixes * Collaborate closely with data, research, and engineering teams to support model training and evaluation workflows * Participate in synchronous design reviews to iterate on system architecture and implementation decisions

Who You Are

* Strong full-stack developer with a solid systems programming background * 3–5+ years of professional experience writing production-grade Python * Experienced building asynchronous task queues for long-running background processing * Proficient in optimizing database queries for high-throughput applications * Comfortable working with real-time data protocols (e.g., WebSockets) * Clear, precise written and verbal communicator * Able to commit 20–40 hours per week consistently * Native or fluent English speaker

Nice to Have

* Prior experience with data annotation platforms, data quality systems, or evaluation pipelines * Familiarity with AI/ML workflows, model training, or benchmarking infrastructure * Experience with distributed systems or developer tooling * Background working alongside research or data science teams

Why Join Us

* Work directly with leading AI labs on production systems that matter * Fully remote and flexible — work from anywhere on a schedule that suits you * Freelance autonomy with the structure of high-quality, technically challenging work * Contribute to AI infrastructure that influences how next-generation models are built and evaluated * Potential for ongoing work and contract extension as new projects launch