Senior Software Engineer — AI Evaluation & Benchmarks
Alignerr · United States
- Hybrid
- Contract
- $150,000 / year
- United States
Tailored resume — keyword-matched to this role.
Hiring manager — we find who's hiring.
Intro email — drafted to reach them directly.
Job highlights
- Design and build AI model evaluation benchmarks.
- Develop scalable data pipelines for AI testing.
- Analyze AI-generated code for quality.
- Work with large codebases and Python.
- Shape the future of AI development.
About the role
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
Key skills/competency
- Software Engineering
- AI Evaluation
- Benchmarking
- Data Pipelines
- Python
- LLM
- Git
- CI/CD
- Code Quality
- Remote Work
Skills & topics
- Senior Software Engineer
- AI Evaluation
- Benchmarking
- Data Pipelines
- Python
- LLM
- Software Development
- Remote
- Contract Role
- AI Research
How to get hired
- Tailor your resume: Highlight your 4+ years of software engineering, Python expertise, and experience with LLM benchmarks.
- Showcase technical skills: Detail your work with Git, large codebases, and CI/CD pipelines.
- Emphasize autonomy: Demonstrate your self-directed nature and ability to work remotely.
- Address bilingual requirement: If applicable, clearly state your English proficiency.
- Prepare for technical interviews: Be ready to discuss coding benchmarks and AI evaluation strategies.
Technical preparation
Master Python for coding benchmarks.,Practice Git and complex codebases.,Build CI/CD pipelines and tests.,Study AI/ML evaluation methods.
Behavioral questions
Describe a complex codebase you navigated.,How do you work autonomously?,Share your experience with AI model evaluation.,How do you provide technical feedback?
Frequently asked questions
- What is the primary focus of the Senior Software Engineer role at Alignerr?
- The Senior Software Engineer role at Alignerr focuses on designing and building coding benchmarks and data pipelines to evaluate advanced AI models, particularly in areas like reasoning, debugging, and software generation.
- Is this a remote position, and what are the work arrangement details for the Senior Software Engineer AI Evaluation role at Alignerr?
- Yes, this is a fully remote contract role. Alignerr offers the flexibility to work from anywhere with a reliable internet connection, allowing for freelance autonomy.
- What level of Python proficiency is required for the Senior Software Engineer AI Evaluation position at Alignerr?
- Expert proficiency in Python is required. Candidates must demonstrate the ability to write clean, performant, and well-tested Python code, as it's crucial for building evaluation benchmarks and data pipelines.
- What kind of experience is essential for the Senior Software Engineer AI Evaluation role at Alignerr?
- A minimum of 4 years of professional software engineering experience is non-negotiable. Experience at a high-growth tech company or top-tier software organization, along with proven experience in designing LLM coding benchmarks and data pipelines, is essential.
- Are there specific programming languages other than Python that are beneficial for this role at Alignerr?
- While Python is the primary requirement, proficiency in additional languages like JavaScript, Go, C++, or others relevant to AI model evaluation is considered a strong plus for candidates applying for the Senior Software Engineer AI Evaluation position.
- What is the contract length and commitment for this Senior Software Engineer role at Alignerr?
- This is an hourly contract role with an initial length of 3 months. Full-time availability is preferred for the Senior Software Engineer AI Evaluation position.
- How does Alignerr use the benchmarks created by Senior Software Engineers?
- The benchmarks created by Senior Software Engineers at Alignerr are used to directly measure and improve the performance of the most advanced AI systems in the world, influencing the trajectory of AI development.