collaborates with the world’s leading AI research labs to build and train cutting-edge AI models.
Position: Frontend Engineer – AI Trainer
Type: Full-Time
Compensation: $30–$60/hr
Location: Remote
Duration: 10–40 hrs/week, flexible and asynchronous
Requirements: (Training support will be provided)
- Bachelor’s degree in Computer Science or a related technical discipline
- Minimum 3 years of professional experience in frontend engineering roles
- Strong proficiency in modern JavaScript and frontend frameworks such as React, Vue, or Angular
- Solid understanding of asynchronous programming, RESTful APIs, and state management
- Experience building responsive, accessible, and scalable web applications
- Excellent written and verbal communication skills with strong clarity
- Ability to work independently in a remote environment while collaborating with cross-functional teams
- High attention to detail and commitment to code quality and best practices
Preferred:
- Prior exposure to AI or machine learning workflows, including prompt engineering or data labeling tools
- Experience working closely with AI researchers, product managers, or data teams
- Background in UX/UI design or human–computer interaction
- Experience contributing to design systems or frontend architecture decisions
Role Responsibilities:
- Design and develop intuitive, scalable frontend interfaces to support AI training workflows
- Collaborate with AI researchers and product stakeholders to define effective prompting user experiences
- Implement, test, and optimize UI components that support the full lifecycle of AI prompt creation and refinement
- Contribute to code reviews, documentation, and frontend best practices
- Analyze user feedback and iterate on features to improve usability and trainer effectiveness
- Ensure high standards for performance, accessibility, and maintainability across frontend systems
- Communicate technical concepts clearly to both technical and non-technical collaborators
- Stay updated on emerging frontend technologies and AI training methodologies to drive continuous improvement
Application process: (Takes 7–30 mins)
- Upload resume
- AI interview (camera on, skill-based questions; coding for engineers)
- Submit form
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