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Rust Developer

LabelboxLabelbox·Artificial Intelligence / Data Annotation

Compensation

$60.00 - $90.00/hr

Apply effort

~6 min

Lever

Posted

179 days

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About the role

Rust Developer - $90/hr Remote - Alignerr

- Location: Remote
About the job
At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting-edge AI models.
Organization: Alignerr Position: Rust Developer Type: Hourly Contract Compensation: $60–$90 /hour Location: Remote Commitment: 10–40 hours/week
Role Responsibilities (Training support will be provided)
- Design, build, and optimize high-performance systems in Rust to support AI evaluation workflows.
- Review AI-generated Rust code for memory safety, concurrency, and performance optimization.
- Develop backend services and tooling for large-scale data validation and quality control.
- Identify bottlenecks and edge cases in system behavior and implement scalable fixes.
Requirements
- Bachelor's degree or higher in Computer Science or a related technical field.
- 5+ years of professional experience writing production Rust with a focus on memory safety and concurrency.
- Strong background in systems programming and performance optimization.
- Fluent in English with the ability to explain complex low-level programming concepts clearly.
Preferred:
- Experience with distributed systems or developer tooling.
Application Process (Takes 15-20 min)
- Submit your resume
- Complete a short screening
- Project matching and onboarding
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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?

03

About Labelbox

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.

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