Senior Software Engineer — AI Evaluation & Benchmarks
Alignerr · Remote · Coding / software engineering
Senior Software Engineer — AI Evaluation & Benchmarks is an open role at Alignerr, available remotely, with pay listed as $80–$100/hr.
Applications open on Alignerr’s own site. How we make money.
At a glance
- Pay
- $80–$100/hrStated by Alignerr
- Location
- Remote
- Work type
- Coding / software engineering
- Field
- Coding
- Listed
- Since Oct 4, last confirmed Oct 23
How the pay compares
Higher than 58% of the 79 distinct hourly rates advertised for Coding roles right now. Hourly USD, top of each advertised range, one count per distinct rate. Same method as the Pay Index.
From Alignerr’s listing
“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?”
Show the full listing
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,
About Alignerr: part of Labelbox. See the full profile →
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Frequently asked questions
How do I apply for the Senior Software Engineer — AI Evaluation & Benchmarks role at Alignerr?
Applications go through Alignerr's own portal - HumanSourcer links to the listing and never collects applications or handles hiring. Alignerr's access model is "Open / self-serve" (Open roles / applications). This listing was first seen here on October 4, 2026 and was still live at the last check.
Is the Senior Software Engineer — AI Evaluation & Benchmarks role at Alignerr remote?
Yes - Alignerr lists this role as remote.
What does the Senior Software Engineer — AI Evaluation & Benchmarks role at Alignerr pay?
Alignerr lists this role's pay as $80–$100/hr, quoted from the listing rather than estimated.
What kind of work is Senior Software Engineer — AI Evaluation & Benchmarks?
Coding / software engineering. AI training, evaluation, coding, writing and specialist review
Is Alignerr a legitimate AI-training platform?
Labelbox expert network - and that relationship is rated "Confirmed" here because it can be checked against labelbox.com rather than taken on Alignerr's word. Confidence describes how well the ownership is evidenced. It is not a rating of how the platform treats the people who work for it, which no public source covers reliably.
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