{"@context":"https://schema.org","@type":"JobPosting","directApply":"https://schema.org/False","title":"Lead Backend Engineer - AI Tooling","description":"

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.

Position

Senior Python Full-Stack Engineer — AI Data & Infrastructure

Type: Contract, Remote Commitment: 20–40 hours/week Compensation: Competitive, hourly (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
5+ years of professional experience writing production Python backend services.
Mastery of modern web frameworks and strict type enforcement patterns.
Experience architecting robust APIs (REST/GraphQL), designing database schemas, and implementing authentication/authorization flows.
Clear written and verbal communication skills to lead code reviews and system design sessions.
Ability to commit 20–40 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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