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
Must-Have
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
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 20-40 hours per week.
- 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
- Submit your resume
- Complete a short technical screening
- Project matching and onboarding
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