Senior Rust Engineer — AI Data & Infrastructure
Alignerr · Remote · Data annotation / labeling
Senior Rust Engineer — AI Data & Infrastructure is an open role at Alignerr, available remotely, with pay listed as $50–$75/hr.
Applications open on Alignerr’s own site. How we make money.
At a glance
- Pay
- $50–$75/hrStated by Alignerr
- Location
- Remote
- Work type
- Data annotation / labeling
- Listed
- Since Oct 4, last confirmed Oct 23
How the pay compares
Higher than 77% of the 83 distinct hourly rates advertised for Data annotation / labeling 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 Rust Engineer — AI Data & Infrastructure About the Role What if your systems programming expertise could directly shape the infrastructure powering next-generation AI?”
Show the full listing
Senior Rust Engineer — AI Data & Infrastructure About the Role What if your systems programming expertise could directly shape the infrastructure powering next-generation AI? We're looking for a Senior Rust Engineer to build and optimize the high-performance data pipelines, annotation tooling, and evaluation systems that sit at the heart of cutting-edge AI development. This is a fully remote contract role working alongside leading AI labs on real production systems — not toy projects. If you care deeply about performance, correctness, and building things that scale, this is the work you've been waiting for. Organization : Alignerr Type : Hourly Contract Location : Remote Commitment : 20–40 hours/week What You'll Do Design, build, and optimize high-performance systems in Rust supporting AI data pipelines and evaluation workflows Develop backend services and tooling for large-scale data annotation , validation, and quality control Improve reliability, performance, and memory safety across existing Rust codebases Collaborate with data, research, and engineering teams to support model training and evaluation workflows Identify bottlenecks and edge cases in data and system behavior, and implement scalable, production-ready fixes Participate in synchronous design reviews to iterate on system architecture and implementation decisions Who You Are 5+ years of professional experience writing production-grade Rust Strong systems programming background — you think deeply about performance, concurrency, and memory safety Proven experience building backend services, developer tooling, or data pipelines Clear and effective communicator in both written and verbal contexts Able to commit 20–40 hours per week with reliability and consistency Nice to Have Prior experience with data annotation, data quality systems, or evaluation pipelines Familiarity with AI/ML workflows, model training, or benchmarking infrastructure Experience with distributed systems or large-scale developer toolin
About Alignerr: part of Labelbox. See the full profile →
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Frequently asked questions
How do I apply for the Senior Rust Engineer — AI Data & Infrastructure 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 Rust Engineer — AI Data & Infrastructure role at Alignerr remote?
Yes - Alignerr lists this role as remote.
What does the Senior Rust Engineer — AI Data & Infrastructure role at Alignerr pay?
Alignerr lists this role's pay as $50–$75/hr, quoted from the listing rather than estimated.
What kind of work is Senior Rust Engineer — AI Data & Infrastructure?
Data annotation / labeling. 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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