Alignerr · 3 weeks ago
Lead Backend Engineer - AI Tooling
Alignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. The Lead Backend Engineer will design, build, and optimize high-performance systems in Python to support AI data pipelines and evaluation workflows, while also collaborating with various teams to enhance model training and evaluation processes.
Computer Software
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
Qualification
Required
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
Company
Alignerr
We're looking for experts to help train better AI.
Funding
Current Stage
Early StageCompany data provided by crunchbase