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Senior Software Engineer – AI Evaluation

Alignerr · Remote · Coding / software engineering

Senior Software Engineer – AI Evaluation is an open role at Alignerr, available remotely, with pay listed as $60–$120/hr.

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Applications open on Alignerr’s own site. How we make money.

At a glance

Pay
$60–$120/hrStated by Alignerr
Location
Remote
Field
Coding
Listed
Since Oct 4, last confirmed Oct 23

How the pay compares

This role$120
Alignerr median$75
Coding roles median$75
All roles median$60

Higher than 73% 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 About the Role What if your engineering skills could directly determine whether the world's most advanced AI systems are actually working?”
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Senior Software Engineer – AI Evaluation About the Role What if your engineering skills could directly determine whether the world's most advanced AI systems are actually working? We're looking for Senior Software Engineers to design, build, and scale the evaluation infrastructure that measures AI performance — the critical layer between raw model output and real-world trust. This is high-impact, technically challenging work at the intersection of software engineering and AI research. You'll build the tools, pipelines, and frameworks that help leading research teams understand what their models can do, where they fail, and how to make them better. If you love building robust systems and care deeply about quality and measurement, this role puts you at the center of the AI revolution. Organization : Alignerr Type : Hourly Contract Location : Remote Commitment : 20–40 hours/week What You'll Do Design and build scalable evaluation pipelines and frameworks for assessing AI model performance across diverse tasks and domains Develop automated testing harnesses, scoring systems, and benchmarking tools for large language models and other AI systems Write clean, production-quality code to process, analyze, and visualize evaluation datasets at scale Create and maintain APIs, dashboards, and internal tools that enable research teams to run, track, and compare evaluations efficiently Collaborate with AI researchers and data scientists to translate evaluation methodologies into reliable, repeatable software Identify edge cases, failure modes, and reliability issues in AI outputs through systematic engineering approaches Optimize system performance, data processing speed, and infrastructure costs Contribute to the architecture and technical direction of the evaluation platform Write clear documentation and participate in code reviews to maintain high engineering standards Who You Are 5+ years of professional software engineering experience, with a track record of building and ship

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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 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 role at Alignerr remote?

Yes - Alignerr lists this role as remote.

What does the Senior Software Engineer – AI Evaluation role at Alignerr pay?

Alignerr lists this role's pay as $60–$120/hr, quoted from the listing rather than estimated.

What kind of work is Senior Software Engineer – AI Evaluation?

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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