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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). $50–$75 an hour
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
5+ years of professional experience writing production Python, specifically for large‑scale infrastructure or platform engineering
Expertise in designing distributed computing systems and managing concurrency with advanced asynchronous patterns
Deep understanding of Python internals (GIL limitations, memory profiling) and experience optimizing performance for compute‑heavy workloads
Clear written and verbal communication skills for driving technical strategy and architectural decisions
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
#J-18808-Ljbffr
Position Senior Python Full‑Stack Engineer — AI Data & Infrastructure
Type:
Contract, Remote
Commitment:
20–40 hours/week
Compensation:
Competitive, hourly (based on experience). $50–$75 an hour
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
5+ years of professional experience writing production Python, specifically for large‑scale infrastructure or platform engineering
Expertise in designing distributed computing systems and managing concurrency with advanced asynchronous patterns
Deep understanding of Python internals (GIL limitations, memory profiling) and experience optimizing performance for compute‑heavy workloads
Clear written and verbal communication skills for driving technical strategy and architectural decisions
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
#J-18808-Ljbffr