About the role

About the role

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 Systems Engineer — AI Data & Infrastructure(Go, Rust, Python, or C++)

Type: Contract Commitment: 20–40 hours/week Compensation: Competitive, hourly (based on experience and location)

Role Responsibilities

- Design, build, and optimize high-performance systems using Go, Rust, Python, or C++

- Develop tooling and backend services for large-scale data annotation, validation, and evaluation workflows

- Build and maintain reliable data pipelines supporting AI training and benchmarking

- Improve performance, scalability, and safety across existing codebases

- Collaborate with data, research, and engineering teams on model-facing infrastructure

- Identify bottlenecks, edge cases, and failure modes in data and system behavior

- Participate in synchronous reviews to iterate on architecture and implementation decisions

Qualifications

Must-Have

- 5+ years of professional experience in Go, Rust, Python, or C++

- Strong systems or backend engineering background

- Experience building production services, tooling, or data pipelines

- Ability to reason about performance, reliability, and correctness

- Clear written and verbal communication skills

- Ability to commit 20–40 hours per week

Preferred

- Experience with data annotation, data quality, or evaluation systems

- Familiarity with AI/ML workflows, model training, or benchmarking pipelines

- Experience with distributed systems or high-throughput data processing

- Background in developer tooling or internal infrastructure

Application Process

- Submit your resume

- Complete screening and assessment

- Project matching and onboarding

Skills & Tags

python go rust ai 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.