About this opportunity
Alignerr Corp. lists this Backend Developer - Data Annotation Systems opportunity in seattle, Washington. Review the employer’s description below for duties, qualifications and application requirements.
Job description
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 remote, flexible 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: 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 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 codebasesCollaborate 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
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
#J-18808-Ljbffr
Worksite address
seattle, WA, 98127, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.