About the role
Full Stack Engineer - $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: Full Stack Engineer Type: Hourly Contract Compensation: $60–$90 /hour Location: Remote Commitment: 10–40 hours/week
Role Responsibilities (Training support will be provided)
- Evaluate AI-generated code across the full stack, including frontend (React/Vue) and backend (Node/Python/C#).
- Design and build full-stack tooling for AI data annotation and quality control.
- Review complex system designs and provide feedback on scalability and performance.
- Ensure technical rigor and efficiency across both UI and server-side deliverables.
Requirements
- Master’s or PhD in Computer Science or a technical field from a top university.
- 3-5+ years of professional full-stack experience writing production code.
- Proficiency in JavaScript/TypeScript, Python and Rust.
- Exceptional written communication skills for documentation and explanations.
Preferred:
- Experience with distributed systems, developer tooling, or AI/ML workflows.
Application Process (Takes 15-20 min)
- Submit your resume
- Complete a short screening
- Project matching and onboarding
Skills & Tags
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.
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 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.
