Python Software Engineer - AI Workflows

Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 20–40 hours/week

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.

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.

Requirements

• 3–5+ years of professional experience writing production‑grade Python.
• Strong full‑stack developer with a solid systems programming background.
• 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.
• Clear communicator — both in writing and in synchronous discussions.
• Native or fluent English speaker.
• Available to commit 20–40 hours per week.

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.

Why Join Us

• 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.