Job Description
Senior Python Full-Stack Engineer - AI Data & Infrastructure
Location: Manhattan, NY
Company: Alignerr
Job Type: Contract, Remote
Commitment: 20-40 hours/week
Compensation: Competitive, hourly (based on experience)
About The Role
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.
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 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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