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Lead Systems Engineer - AI Platform

Alignerr · Senior · Remote

About the Role

What if your mastery of Rust could directly shape the infrastructure powering the next generation of AI? We're looking for a senior Rust engineer to build and lead the systems that sit at the heart of real AI production workflows — from high-throughput data pipelines to evaluation infrastructure used by leading AI labs.

This isn't a sandbox project. You'll be working on real, high-impact systems that researchers and engineers depend on every day.

Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 20–40 hours/week

Key Responsibilities:

Design and build high-performance, production-grade systems in that power AI data pipelines and model evaluation workflows

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Rust

Develop full-stack backend services and tooling for large-scale data annotation, validation, and quality control

Improve reliability, safety, and performance across existing Rust codebases — finding and fixing bottlenecks before they become problems

Collaborate closely with data, research, and engineering teams to support model training and evaluation at scale

Identify edge cases and systemic failure points in data and system behavior, then implement scalable, lasting fixes

Lead synchronous design reviews, contributing architectural vision and driving implementation decisions

Requirements:

Native or fluent English speaker with clear written and verbal communication skills
5+ years of professional experience writing production Rust, with strong focus on system architecture and API design
Deep expertise in FFI (Foreign Function Interface) and unsafe Rust — you know where the boundaries are and how to work them effectively
Advanced knowledge of asynchronous runtimes and multi-threaded environments — thread safety isn't an afterthought for you
Able to lead system design reviews and communicate technical decisions clearly to cross-functional teams
Available to commit 20–40 hours per week on a contract basis

Nice to Have

Prior experience with data annotation, data quality pipelines, or evaluation systems
Familiarity with AI/ML workflows, model training, or benchmarking infrastructure
Experience building distributed systems or developer tooling at scale

Why Join Us

Work on cutting-edge AI projects alongside leading research labs and AI teams
Fully remote and flexible — work when and where it suits you
Freelance autonomy with the structure of meaningful, technically rigorous work
Make a direct, tangible impact on how AI understands and generates systems-level code
Potential for ongoing work and contract extension as new projects launch
Training and onboarding support provided — hit the ground running

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