Senior Software Engineer — AI Evaluation & Benchmarks

About The Role What if the code you write could determine how smart the next generation of AI truly is? We're looking for experienced Software Engineers to design and build the coding benchmarks and data pipelines used to evaluate frontier AI models — the systems that decide whether an AI can actually reason, debug, and write production-quality software. This is high-impact, technically demanding work at the intersection of software engineering and AI research. You'll work with large codebases, multiple programming languages, and scalable infrastructure to create evaluation systems that push the boundaries of what AI can do. This is a fully remote contract role. If you thrive in fast-paced engineering environments and want your work to directly shape the trajectory of AI — this is the role. Organization: Alignerr Type: Hourly Contract Location: Remote Contract Length: 3 Months Commitment: Full-time availability preferred What You'll Do Design and implement coding benchmarks used to evaluate frontier AI models across real-world programming tasks Build and maintain scalable data pipelines for AI evaluation workflows Analyze AI-generated code for correctness, reliability, and edge-case failures Create structured evaluation scenarios that rigorously test reasoning, debugging, and code quality Work with large code repositories and multi-language environments Collaborate on systems that improve how AI models understand and generate software Provide detailed technical feedback on model performance and failure patterns Contribute to the design of evaluation frameworks that set industry standards Who You Are 4+ years of professional software engineering experience — this is non-negotiable Experience working at a high-growth tech company or top-tier software organization Expert proficiency in Python — you write clean, performant, well-tested Python code Hands-on experience with code repositories and working in large, complex codebases Proven experience designing and implementing LLM coding benchmarks and data pipelines Track record of working in high-performance engineering environments with large-scale products or platforms Strong command of version control systems (Git) and modern development workflows Bilingual or native English speaker with strong written communication skills Self-directed, technically rigorous, and comfortable operating with autonomy What Makes a Perfect Match Candidates with these additional qualifications have the highest chance of success: Senior or Lead-level engineering profiles with a history of technical ownership Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field — or equivalent professional experience Proficiency in one or more additional languages: JavaScript, Go, C++, or other relevant languages Experience with CI/CD pipelines and writing robust unit tests (pytest, Mocha, JUnit) Background in security engineering or significant open-source contributions Familiarity with AI/ML evaluation methodologies or model benchmarking Why Join Us Work on cutting-edge AI evaluation projects alongside world-class research teams Fully remote — work from anywhere with a reliable internet connection Your benchmarks directly influence how the most advanced AI systems in the world are measured and improved Freelance autonomy with meaningful, high-stakes engineering work Collaborate with a global community of elite engineers and researchers Potential for contract extension and ongoing engagement as new evaluation challenges emerge

Design and implement coding benchmarks and scalable data pipelines to evaluate the reasoning and code quality of frontier AI models. Analyze AI-generated code for correctness and provide technical feedback to improve model performance.

Requires 4+ years of professional software engineering experience with expert proficiency in Python and experience with LLM coding benchmarks. A degree in Computer Science or Machine Learning is preferred along with proficiency in additional languages like Go or C++.

• CI/CDPreferred
• GoPreferred
• JavaScriptPreferred
• C++Preferred
• GitPreferred
• PythonPreferred

Identified from the job description. Confirm important requirements above.

• Python
• LLM Benchmarking
• Data Pipelines
• Git
• Software Engineering
• AI Evaluation
• Code Analysis
• CI/CD
• Unit Testing
• JavaScript
• Go
• C++
• Technical Writing
• Reasoning Evaluation
• Debugging
• Scalable Infrastructure

• Software
• Technology
• Engineering
• Data & Analytics
• Science & Research

Minimum education

Bachelor’s degree

Minimum experience

5+ years

Posting language

English

Working hours

40 hours per week

Seniority

Mid-Senior level