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Backend Developer - Data Annotation Systems
Labelbox
- United States
- United States
À propos
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. Position
Senior Python Full-Stack Engineer AI Data & Infrastructure Type:
Contract, Remote
Commitment:
2040 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
Qualifications Must-Have
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., WebSockets). Clear written and verbal communication skills. Ability to commit 2040 hours per week.
Preferred
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
Application Process
Submit your resume Complete a short technical screening Project matching and onboarding
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Compétences linguistiques
- English
Avis aux utilisateurs
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