Backend Developer - Data Annotation Systems
Remote / Online - Candidates ideally in
Seattle, King County, Washington, 98127, USA
Listed on 2025-12-27
Seattle, King County, Washington, 98127, USA
Listing for:
Labelbox
Full Time, Remote/Work from Home
position Listed on 2025-12-27
Job specializations:
-
IT/Tech
Data Analyst, Data Scientist, AI Engineer, Data Science Manager
Job Description & How to Apply Below
About the Job
Alignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. We work on real production systems and high-impact research workflows across data, tooling, and infrastructure.
PositionSenior Python Full-Stack Engineer — AI Data & Infrastructure
Type: Contract, Remote Commitment: 20–40 hours/week Compensation: $50 - $75 an hour (based on experience)
Role Responsibilities- Design, build, and optimize high-performance systems in Python supporting AI data pipelines and evaluation workflows
- Develop full-stack tooling and backend services for large-scale data annotation
, validation, and quality control - Improve reliability, performance, and safety across existing Python codebases
- Collaborate with data, research, and engineering teams to support model training and evaluation workflows
- Identify bottlenecks and edge cases in data and system behavior, and implement scalable fixes
- Participate in synchronous reviews to iterate on system design and implementation decisions
- Native or fluent English speaker
- Full-stack developer experience with a strong systems programming background
- 3-5+ years of professional experience writing production Python.
- Experience building asynchronous task queues to handle long-running background jobs.
- Proficiency in optimizing database queries for high-read/write applications and serving data via real-time protocols (e.g., Web Sockets).
- Clear written and verbal communication skills.
- Ability to commit 20–40 hours per week.
- Prior experience with data annotation
, data quality, or evaluation systems - Familiarity with AI/ML workflows, model training, or benchmarking pipelines
- Experience with distributed systems or developer tooling
- Submit your resume
- Complete a short technical screening
- Project matching and onboarding
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