Backend Developer - Data Annotation Systems

Backend Developer — Data Annotation Systems (AI Training) About The Role What if your Python expertise could directly shape the infrastructure that trains the world's most advanced AI models? 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 every day. This is a fully reputed company contract role for a seasoned engineer who wants to work on real production systems — not toy projects — alongside top-tier research and engineering teams. • Organization: reputed company • Type: Hourly Contract • Location: Remote • Commitment: 20–40 hours/week What You'll Do • Design, build, and optimize high-performance Python systems supporting large-reputed company 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 reputed company 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 reputed company 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 reputed company 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 Why Join Us • Work on cutting-edge AI infrastructure alongside leading research labs — this is real, high-stakes work • Fully remote and async-friendly — work from wherever you do your best thinking • Freelance autonomy with the structure and consistency of meaningful, ongoing project work • Make a direct, tangible impact on how next-generation AI models are built, trained, and evaluated • Potential for ongoing work and contract extension as new projects and partnerships launch Apply To This Job