Front End Developer | $60/hr Remote
At Crossing Hurdles, we work as a referral partner. We refer candidates to our client that collaborates with the world’s leading AI research labs to build and train cutting-edge AI models.
Position: Frontend Engineer – AI Trainer
Type: Contract
Compensation: $30–$60/hr
Location: Remote
Duration: 10–40 hrs/week, flexible and asynchronous
Requirements: (Training support will be provided)
• Strong proficiency in modern JavaScript (ES6+)
• Hands-on experience with frontend frameworks such as React, Vue, and Angular
• Solid experience building complex, user-facing web applications
• Strong understanding of frontend architecture, state management, and component design
• Experience reviewing, documenting, and explaining frontend code
• Excellent written and verbal communication skills
• Ability to break down complex frontend concepts clearly and logically
• Comfortable working independently in a fully remote environment
• Strong attention to detail when reviewing code and outputs
• Collaborative mindset for working with cross-functional teams
Preferred:
• Prior experience working with AI, LLMs, or AI-powered developer tools
• Background in mentoring, teaching, or curriculum development for engineers
• Experience evaluating or annotating AI-generated code
• Familiarity with frontend testing frameworks and performance optimization
• Exposure to design systems and accessibility best practices
Role Responsibilities:
• Create high-quality frontend coding samples and real-world scenarios for AI training
• Evaluate and annotate AI-generated frontend code for accuracy, clarity, and best practices
• Analyze AI performance on frontend engineering tasks and identify improvement areas
• Collaborate with engineers, data scientists, and AI specialists to refine training datasets
• Maintain and update frontend best practices and coding standards used for AI training
• Provide structured feedback to improve AI understanding of frontend development
• Communicate insights clearly to technical and non-technical stakeholders
• Support continuous improvement of AI models through detailed code review and analysis
Application process: (Takes 7–30 mins)
• Upload resume
• AI interview (camera on, skill-based questions; coding for engineers)
• Submit form
Apply tot his job
Apply To this Job