Senior Systems Engineer — AI Data & Infrastructure
Alignerr · Remote · Data annotation / labeling
Senior Systems 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 22
How the pay compares
Higher than 75% of the 90 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 Systems Engineer — AI Data & Infrastructure About the Role What if your systems engineering expertise could directly shape the infrastructure that powers the world's most advanced AI models?”
Show the full listing
Senior Systems Engineer — AI Data & Infrastructure About the Role What if your systems engineering expertise could directly shape the infrastructure that powers the world's most advanced AI models? We're looking for a Senior Systems Engineer to build the data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on — working on real production systems with genuine, measurable impact. This is a fully remote, flexible contract role for experienced engineers who thrive at the intersection of performance, reliability, and scale. If you've spent years making systems faster, smarter, and more resilient — this is where that expertise matters most. Organization : Alignerr Type : Hourly Contract Location : Remote Commitment : 20–40 hours/week What You'll Do Design, build, and optimize high-performance systems in Go, Rust, Python, or C++ Develop backend services and tooling for large-scale data annotation, validation, and evaluation workflows Build and maintain reliable data pipelines supporting AI model training and benchmarking Identify and resolve bottlenecks, edge cases, and failure modes across data and system layers Improve performance, scalability, and correctness across existing production codebases Collaborate directly with data, research, and engineering teams on model-facing infrastructure Participate in architecture reviews and iterate on system design decisions with senior peers Who You Are 5+ years of professional experience with Go, Rust, Python, or C++ Strong background in systems or backend engineering — you think in terms of performance, reliability, and correctness Proven experience shipping production services, developer tooling, or data pipelines at scale Able to reason clearly about failure modes, trade-offs, and system behavior under load Clear, precise communicator — in code, in writing, and in technical discussion Available to commit 20–40 hours per week on a contractor basis Nice to Have Experience with data annotation sys
About Alignerr: part of Labelbox. See the full profile →
Similar open roles
Frequently asked questions
How do I apply for the Senior Systems 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 Systems Engineer — AI Data & Infrastructure role at Alignerr remote?
Yes - Alignerr lists this role as remote.
What does the Senior Systems 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 Systems 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.
Get new AI-training roles by email
One email a week: the new roles worth opening, what new listings pay, and a count from every network we track. No spam, unsubscribe anytime.
Free. See how we make money.