$50-75/hrAs published by the platform.
Design and build high-performance C++ systems for AI data pipelines, evaluation workflows, and internal tooling. This role involves optimizing production codebases, developing backend services for data annotation and quality control, and collaborating with research teams to support model training infrastructure.
$50-75/hr
Pay as published by the platform. It is not a guarantee of income or hours.
The platform has not published which countries are eligible for this job.
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.
Official posting: https://www.alignerr.com/jobs/12d91d79-f88d-4aba-90e9-8fe5afcf4382
Last checked on October 8, 2026.
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.
This role involves designing and optimizing high-performance C++ systems for AI infrastructure, including data pipelines, annotation tooling, and evaluation workflows. The position is ideal for senior C++ engineers who specialize in performance optimization and want to contribute to cutting-edge AI research infrastructure.
Deep expertise in network engineering, legacy/enterprise systems and advanced programming languages (CUDA, C++, Rust, MLOps, COBOL, ABAP, Scala, Kotlin, OCaml).
This role consists of creating reinforcement learning environments to test the capabilities of AI models in solving complex software engineering problems, including code correction, feature creation, and performance optimization. As an expert software engineer, you will produce quality code examples, debugging strategies, and reproducible reference solutions. The role requires confirmed expertise in programming and an established presence in open source.
Posted September 7, 2026
Referral link to micro1's job list: search for this role there. Open this exact job
This job involves evaluating the quality and correctness of GPU kernel and accelerator code developed to train and test AI models. You will provide structured feedback on numerical correctness, the validity of performance benchmarks, task definition, and viability for compilation and execution.
Posted August 25, 2026
Backend engineers will evaluate how AI models reason about system design, data modeling, and API contracts, identifying failures like race conditions and N+1 queries that only surface under real load. The role involves stress-testing model-generated backend code and writing correct solutions when models fall short, with explicit attention to scaling and consistency trade-offs.
