AI Summary
Design, build, and optimize high-performance Python systems supporting AI data pipelines and evaluation workflows. Collaborate with data, research, and engineering teams to support model training and evaluation workflows. 3-5+ years of professional experience writing production-grade Python.
Key Highlights
Design, build, and optimize high-performance Python systems
Collaborate with data, research, and engineering teams
3-5+ years of professional experience writing production-grade Python
Key Responsibilities
Design, build, and optimize high-performance Python systems 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, then implement scalable fixes
Participate in synchronous design reviews to iterate on architecture and implementation decisions
Technical Skills Required
Benefits & Perks
Fully remote and flexible work arrangement
Freelance autonomy with the structure of meaningful, high-impact engineering work
Potential for ongoing work and contract extension as new projects launch
Nice to Have
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
Job Description
Python Software Engineer — AI Workflows
About The Role
What if your Python expertise could directly shape the infrastructure behind next-generation AI? We're looking for a senior full-stack Python engineer to build the data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on to train and improve their models.
This is a fully remote, flexible contract role for an experienced engineer who wants to work on real production systems at the cutting edge of AI — not toy projects, but high-impact infrastructure that influences how the world's most advanced models are built.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 20–40 hours/week
- Design, build, and optimize high-performance Python systems 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, then implement scalable fixes
- Participate in synchronous design reviews to iterate on architecture and implementation decisions
Interested in remote work opportunities in Development & Programming? Discover Development & Programming Remote Jobs featuring exclusive positions from top companies that offer flexible work arrangements.
- 3–5+ years of professional experience writing production-grade Python
- Strong full-stack developer with a solid systems programming background
- You write clean, maintainable code — linters, formatters, and testing frameworks are second nature
- Experienced in integrating AI services and APIs, handling edge cases, and building robust error reporting
- A clear communicator — both in writing and in synchronous discussions
- Native or fluent English speaker
- Available to commit 20–40 hours per week
Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.
- 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
- Work on cutting-edge AI infrastructure alongside leading research labs
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, high-impact engineering work
- Tackle real production challenges that directly shape how next-generation AI models are built
- Potential for ongoing work and contract extension as new projects launch
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