Software Engineer (C#) - Internal Tooling
Alignerr · Remote · Coding / software engineering
Software Engineer (C#) - Internal Tooling 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
- Coding / software engineering
- Field
- Coding
- Listed
- Since Oct 4, last confirmed Oct 22
How the pay compares
Higher than 46% 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
“Software Engineer (C#) — Internal Tooling (AI Infrastructure) About the Role What if your C# skills could directly shape the systems powering some of the most advanced AI models in the world?”
Show the full listing
Software Engineer (C#) — Internal Tooling (AI Infrastructure) About the Role What if your C# skills could directly shape the systems powering some of the most advanced AI models in the world? We're looking for a Senior C# Full-Stack Engineer to build and optimize the data pipelines, annotation tooling, and evaluation infrastructure that leading AI labs depend on every day. This is a fully remote contract role with flexible hours. You'll work on real production systems — not toy projects — alongside data, research, and engineering teams pushing the frontier of AI development. Organization : Alignerr Type : Hourly Contract Location : Remote Commitment : 20–40 hours/week What You'll Do Design, build, and optimize high-performance C# systems supporting large-scale AI data pipelines and evaluation workflows Develop full-stack tooling and backend services for data annotation, validation, and quality control Improve reliability, performance, and safety across production C# codebases Collaborate with data, research, and engineering teams to support model training and evaluation Identify and resolve bottlenecks and edge cases in data and system behavior with scalable, well-reasoned solutions Participate in synchronous design reviews to iterate on architecture and implementation decisions Who You Are Native or fluent English speaker with clear written and verbal communication skills Full-stack developer with a strong systems programming background 3–5+ years of professional experience writing production-grade C# Experienced with interoperability scenarios — such as invoking Python ML models from .NET or wrapping native libraries Proven ability to design robust benchmarking and evaluation harnesses Able to commit 20–40 hours per week reliably Nice to Have Prior experience with data annotation, data quality, or evaluation systems Familiarity with AI/ML workflows, model training, or benchmarking pipelines Experience with distributed systems or developer tooling Why Join Us Work
About Alignerr: part of Labelbox. See the full profile →
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Frequently asked questions
How do I apply for the Software Engineer (C#) - Internal Tooling 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 Software Engineer (C#) - Internal Tooling role at Alignerr remote?
Yes - Alignerr lists this role as remote.
What does the Software Engineer (C#) - Internal Tooling 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 Software Engineer (C#) - Internal Tooling?
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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