Negotiable
Undetermined
Remote
United Kingdom
Summary: The Frontend Engineer – AI Trainer role at Crossing Hurdles involves creating and evaluating frontend coding samples for AI training, collaborating with engineers and data scientists, and providing structured feedback to enhance AI understanding of frontend development. The position is contract-based, offering flexible hours in a fully remote environment. Candidates should possess strong JavaScript skills and experience with frontend frameworks, along with excellent communication abilities. Prior experience in AI or mentoring is preferred but not mandatory.
Key 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
Key Skills:
- 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
- Prior experience working with AI, LLMs, or AI-powered developer tools (preferred)
- Background in mentoring, teaching, or curriculum development for engineers (preferred)
- Experience evaluating or annotating AI-generated code (preferred)
- Familiarity with frontend testing frameworks and performance optimization (preferred)
- Exposure to design systems and accessibility best practices (preferred)
Salary (Rate): £60.00/hr
City: undetermined
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
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