Backend Developer - Data Annotation Systems

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: 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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