OpenRecently verified

Principal Systems Engineer - AI Infrastructure

  • Software Engineering
  • Platform: Alignerr
  • Level: Expert

$50-75/hrAs published by the platform.

About this job

This remote contract role asks a senior C++ engineer to design, build and tune high-performance systems that feed data pipelines and evaluation workflows for AI model development. The work also covers annotation tooling, backend services and quality control, with frequent collaboration with data, research and engineering teams. It is aimed at experienced systems engineers who want their code to support frontier AI training at scale.

What you'll do

  • Design and optimize high-performance C++ systems for large-scale AI data pipelines and evaluation workflows.
  • Build full-stack tooling and backend services for data annotation, validation and quality control.
  • Improve reliability, performance and memory safety across existing production C++ codebases.
  • Identify bottlenecks and edge cases in data and system behavior and implement scalable fixes.

Requirements

C++
  • 5+ years of experience

Pay

$50-75/hr

Pay as published by the platform. It is not a guarantee of income or hours.

Location

The platform has not published which countries are eligible for this job.

How to apply

You apply on Alignerr, Labelbox's expert network: create a profile, complete an AI-led interview and skills assessment, then get matched to projects in your field.

All Alignerr jobs and how the platform works

Source

Official posting: https://www.alignerr.com/jobs/36638146-177a-4c4a-84f8-a0e74db88488

Last checked on October 8, 2026.

Similar jobs

  • Software Engineering
  • Platform: Alignerr
  • Level: Expert

This is a remote hourly contract for senior systems engineers who will build and tune the C++ infrastructure behind AI data pipelines, annotation tools and model evaluation. The work centers on performance, reliability and production fixes, carried out alongside research and engineering teams. It suits experienced C++ developers with a systems background who want to work on the infrastructure used to train and ship AI models.

  • Software Engineering
  • Platform: Alignerr
  • Level: Intermediate

This role involves designing and optimizing Python-based backend systems for data annotation, validation, and AI model training infrastructure. The position requires a senior full-stack engineer to build high-performance data pipelines, asynchronous task queues, and evaluation systems used by leading AI labs.

  • Software Engineering
  • Platform: DataAnnotation

You will evaluate AI-generated code by running models on real engineering tasks, analyzing their output against production standards, and stress-testing them to find failures. This role is ideal for experienced software engineers who want to contribute to AI model improvement through rigorous code review and red-teaming.

Talent poolRecently verified$40-150/hr
  • Software Engineering
  • Platform: Terac
  • Location: United States

This remote study asks practicing software engineers to review programming tasks and the evaluation harnesses built to test AI agents on them. You will check whether the tasks, test cases and environment structure reflect realistic software engineering work. It suits engineers with solid experience building, testing and reviewing complex systems.

Posted October 2, 2026

  • Software Engineering
  • Platform: micro1
  • Location: 58 countries

This role involves contributing to an AI training project as an open source software engineer. You will explore unfamiliar repositories, implement and debug front-end and back-end components, and evaluate patches generated by AI. The ideal candidate is an experienced developer with significant contributions to established open source projects.

Posted September 16, 2026

OpenRecently verified$100-150/hr

Referral link to micro1's job list: search for this role there. Open this exact job

Keep exploring