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Alignerr

Alignerr

via LinkedIn

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C++ Developer - Internal Tooling & Optimization

Anywhere
Contract
Posted 2/25/2026
Verified Source
Key Skills:
C++
full-stack development
systems programming

Compensation

Salary Range

$Not specified

Responsibilities

Design and optimize C++ systems for AI data pipelines and develop full-stack tooling for data annotation and validation.

Requirements

3-5+ years professional C++ experience, strong systems programming background, and ability to embed scripting languages in C++ applications.

Full Description

About The Job Alignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. We work on real production systems and high-impact research workflows across data, tooling, and infrastructure. Position Senior C++ Full-Stack Engineer — AI Data & Infrastructure Type: Contract, Remote Commitment: 20–40 hours/week Compensation: Competitive, hourly (based on experience) Role Responsibilities • Design, build, and optimize high-performance systems in C++ supporting AI data pipelines and evaluation workflows • Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control • Improve reliability, performance, and safety across existing C++ codebases • Collaborate with data, research, and engineering teams to support model training and evaluation workflows • Identify bottlenecks and edge cases in data and system behavior, and implement scalable fixes • Participate in synchronous reviews to iterate on system design and implementation decisions Qualifications Must-Have • Native or fluent English speaker • Full-stack developer experience with a strong systems programming background • 3-5+ years of professional experience writing production C++. • Proficiency in embedding scripting languages within C++ applications to create flexible tooling. • Experience profiling code to identify bottlenecks in data processing scripts. • Clear written and verbal communication skills. • Ability to commit 20–40 hours per week. Preferred • 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 Application Process • Submit your resume • Complete a short technical screening • Project matching and onboarding

This job posting was last updated on 3/4/2026

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