About the role

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

- 5+ years of professional experience writing production C++.

- Experience working with the C++ frontends of ML frameworks or inference runtimes.

- Familiarity with hardware acceleration APIs for optimizing model inference.

- 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

Skills & Tags

machine learning ai frontend backend data product design

Aplyr's read

Labelbox is a cutting-edge data training platform focused on enhancing AI capabilities through efficient data annotation. Ideal for tech professionals passionate about AI and machine learning.
Synthesized from recent postings & public sources

What's promising

•Labelbox offers a robust platform that significantly accelerates AI model training.
•The company is at the forefront of AI data annotation, a rapidly growing field.
•Recent roles indicate a strong focus on diverse AI applications and research.

What to watch

•The niche focus on data annotation may limit broader tech career opportunities.
•Highly specialized roles might require advanced expertise in AI and machine learning.
•Potential candidates may face intense competition due to the company's innovative reputation.

Why Labelbox

•Labelbox uniquely integrates data annotation with AI model improvement.
•The company emphasizes a forward-deployed engineering approach, embedding engineers directly with clients.
•Its platform is designed to streamline complex data labeling processes efficiently.

Aplyr’s read is generated by AI from public sources. Was it useful?

About Labelbox

Labelbox

labelbox.com

View company

Labelbox is a data training platform that enables organizations to build and manage high-quality training datasets for machine learning applications. By streamlining the data labeling process, Labelbox empowers teams to accelerate their AI initiatives and improve model performance.