AI Summary
Design, implement, and optimize advanced Python code for production-level systems. Analyze and manipulate structured datasets to support engineering and modeling workflows. Translate ambiguous or high-level requirements into concrete, well-reasoned technical solutions.
Key Highlights
Design and implement advanced Python code
Analyze and manipulate structured datasets
Translate ambiguous requirements into technical solutions
Key Responsibilities
Design, implement, and optimize advanced Python code
Analyze and manipulate structured datasets
Translate ambiguous or high-level requirements into concrete, well-reasoned technical solutions
Review, debug, and improve existing codebases
Evaluate AI-generated code and analytical outputs
Technical Skills Required
Benefits & Perks
Fully remote work
Flexible contract role
Potential for ongoing work and contract extension
Nice to Have
Experience working with large, messy, or unstructured datasets
Familiarity with backend systems, REST APIs, or data pipelines
Job Description
Software Engineer – Python (Advanced)
About The Role
What if your Python skills could directly shape how the next generation of AI systems thinks, reasons, and writes code? We're looking for advanced Python engineers to work on real-world engineering and data challenges — reviewing, building, and improving the software that powers cutting-edge AI applications.
This is a fully remote, flexible contract role built for experienced engineers who love solving hard problems. If you thrive on clean architecture, data-driven thinking, and translating ambiguous requirements into elegant solutions, this is for you.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
- Design, implement, and optimize advanced Python code for production-level systems
- Analyze and manipulate structured datasets to support engineering and modeling workflows
- Write and optimize SQL queries to extract, transform, and validate data
- Review, debug, and improve existing codebases for performance, reliability, and maintainability
- Translate ambiguous or high-level requirements into concrete, well-reasoned technical solutions
- Apply consulting-style thinking 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
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Must-Have
- 4+ years of professional software engineering experience
- Advanced proficiency in Python — clean architecture, performance optimization, and debugging
- Strong hands-on experience with real-world data analysis and structured datasets
- Solid SQL skills, including complex queries, transformations, and data validation
- Prior consulting or client-facing experience, with the ability to navigate open-ended, ambiguous problems
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- Experience working with large, messy, or unstructured datasets
- Familiarity with backend systems, REST APIs, or data pipelines
- Comfort evaluating or auditing AI-generated code and reasoning
- Strong written communication skills and sharp attention to detail
- 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 understands and produces code at scale
- Potential for ongoing work and contract extension as new projects launch
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