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 ā AI Data & Infrastructure
Type: Contract, Remote Commitment: 20ā40 hours/week Compensation: Competitive, hourly (based on experience)
Role Responsibilities
ā¢ Design, build, and optimize high-performance systems in Python supporting AI data pipelines and evaluation workflows
ā¢ Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control
ā¢ Improve reliability, performance, and safety across existing Python codebases
ā¢ Collaborate with data, research, and engineering teams to support model training and evaluation workflows
ā¢ Identify bottlenecks and edge cases in data and system behavior, and implement scalable fixes
ā¢ Participate in synchronous reviews to iterate on system design and implementation decisions
Qualifications
Must-Have
ā¢ Native or fluent English speaker
ā¢ Full-stack developer experience with a strong systems programming background
ā¢ 3-5+ years of professional experience writing production Python.
ā¢ Experience building asynchronous task queues to handle long-running background jobs.
ā¢ Proficiency in optimizing database queries for high-read/write applications and serving data via real-time protocols (e.g., WebSockets).
ā¢ Clear written and verbal communication skills.
ā¢ Ability to commit 20ā40 hours per week.
Preferred
ā¢ Prior experience with data annotation, data quality, or evaluation systems
ā¢ Familiarity with AI/ML workflows, model training, or benchmarking pipelines
ā¢ Experience with distributed systems or developer tooling
Application Process
ā¢ Submit your resume
ā¢ Complete a short technical screening
ā¢ Project matching and onboarding
Apply tot his job
Apply To this 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 ā AI Data & Infrastructure
Type: Contract, Remote Commitment: 20ā40 hours/week Compensation: Competitive, hourly (based on experience)
Role Responsibilities
ā¢ Design, build, and optimize high-performance systems in Python supporting AI data pipelines and evaluation workflows
ā¢ Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control
ā¢ Improve reliability, performance, and safety across existing Python codebases
ā¢ Collaborate with data, research, and engineering teams to support model training and evaluation workflows
ā¢ Identify bottlenecks and edge cases in data and system behavior, and implement scalable fixes
ā¢ Participate in synchronous reviews to iterate on system design and implementation decisions
Qualifications
Must-Have
ā¢ Native or fluent English speaker
ā¢ Full-stack developer experience with a strong systems programming background
ā¢ 3-5+ years of professional experience writing production Python.
ā¢ Experience building asynchronous task queues to handle long-running background jobs.
ā¢ Proficiency in optimizing database queries for high-read/write applications and serving data via real-time protocols (e.g., WebSockets).
ā¢ Clear written and verbal communication skills.
ā¢ Ability to commit 20ā40 hours per week.
Preferred
ā¢ Prior experience with data annotation, data quality, or evaluation systems
ā¢ Familiarity with AI/ML workflows, model training, or benchmarking pipelines
ā¢ Experience with distributed systems or developer tooling
Application Process
ā¢ Submit your resume
ā¢ Complete a short technical screening
ā¢ Project matching and onboarding
Apply tot his job
Apply To this Job