Software Engineer - Python (Advanced)
- Canada
- Remote
- Posted Sep 19, 2026
- 1 position
Opens an external site
- Employment type
- Contract
- Experience level
- Mid-level · 2+ years
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Mid-Senior level
Job summary
Design, implement, and optimize advanced Python code for production-level AI systems while analyzing complex datasets. You will also be responsible for debugging codebases, writing complex SQL queries, and evaluating the quality of AI-generated outputs.
Job details
Software Engineer – Python (Advanced) About The Role What if your Python expertise could directly influence how AI systems are built, evaluated, and improved for millions of people? We're looking for advanced Python engineers to work on real-world engineering and data challenges — designing production-grade solutions, analyzing complex datasets, and helping shape the quality of AI-driven applications. This is a fully remote, flexible contract role built for senior engineers who thrive on autonomy, love solving ambiguous problems, and take pride in clean, performant code. Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week What You'll Do Design, implement, and optimize advanced Python code for production-level systems Analyze and manipulate structured real-world datasets to support engineering and modeling workflows Write and optimize complex SQL queries to extract, transform, and validate data Review, debug, and improve existing codebases for performance, reliability, and maintainability Translate ambiguous, high-level requirements into concrete, well-reasoned technical solutions Apply consulting-style problem solving to evaluate tradeoffs and recommend best-fit approaches Document assumptions, decisions, and implementation details with clarity and precision Evaluate AI-generated code and analytical outputs for correctness and quality Who You Are Must-Have 4+ years of professional software engineering experience Advanced Python proficiency — clean architecture, performance optimization, and debugging at depth Strong data analysis experience working with real-world, production datasets Solid SQL skills including complex queries, joins, and data validation Prior consulting or client-facing experience, with the ability to reason through open-ended problems independently Nice to Have Experience working with large, messy, or poorly documented datasets Familiarity with backend systems, REST APIs, or data pipelines Comfort evaluating or auditing AI-generated code and outputs Strong written communication and meticulous attention to detail Why Join Us Work on cutting-edge AI projects alongside leading research labs Fully remote and flexible — work when and where it suits you Freelance autonomy with the structure of meaningful, task-based engineering work Make a direct, tangible impact on how AI systems reason about and produce code Potential for ongoing work and contract extension as new projects launch
What you’ll do
Design, implement, and optimize advanced Python code for production-level AI systems while analyzing complex datasets. You will also be responsible for debugging codebases, writing complex SQL queries, and evaluating the quality of AI-generated outputs.
Requirements
Candidates must have at least 4 years of professional software engineering experience with advanced Python proficiency. Strong data analysis skills, SQL expertise, and prior consulting or client-facing experience are required.
Benefits
• Fully remote • Flexible schedule • Freelance autonomy • Ongoing work potential
Listed skills
- Technical Documentation · Preferred
- SQL · Preferred
- REST APIs · Preferred
- Problem solving · Preferred
- Data Validation · Preferred
- Data analysis · Preferred
- Python · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Python
- SQL
- Data analysis
- Software engineering
- Clean architecture
- Performance optimization
- Debugging
- Data validation
- Consulting
- Problem solving
- REST APIs
- Data pipelines
- Backend systems
- Technical documentation
Job areas
- Software
- Engineering
- Data & Analytics
- Technology
- Consulting
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