Software Engineer - Python (Advanced)

Job summary

Design, implement, and optimize production-grade Python solutions; analyze real-world datasets and write complex SQL queries to support engineering and modeling workflows. Review and improve code, assess AI-generated outputs, and document technical decisions while translating ambiguous requirements into practical solutions.

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 production-grade Python solutions; analyze real-world datasets and write complex SQL queries to support engineering and modeling workflows. Review and improve code, assess AI-generated outputs, and document technical decisions while translating ambiguous requirements into practical solutions.

Requirements

Requires at least four years of professional software engineering experience, advanced Python proficiency, strong data analysis experience, and solid SQL skills. Candidates should also have consulting or client-facing experience and be able to independently solve open-ended problems.

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
• Software Engineering
• Data Analysis
• Data Validation
• Performance Optimization
• Debugging
• Code Review
• Problem Solving
• Consulting
• Production Systems
• Data Pipelines
• REST APIs
• AI Code Evaluation
• Technical Documentation

Job areas

• Software
• Technology
• Data & Analytics
• Engineering
• Consulting

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