Negotiable
Undetermined
Remote
United Kingdom
Summary: Join a remote team as a Frontend Engineer/Ai Trainer, where you will leverage your frontend engineering skills to train AI systems, enhancing their performance in real-world scenarios. This role involves developing coding samples, collaborating with cross-functional teams, and ensuring the technical accuracy of AI-generated code. It offers an exciting opportunity to contribute to innovative projects in a highly collaborative environment.
Key Responsibilities:
- Develop and curate high-quality front-end coding samples and scenarios to facilitate AI model training.
- Collaborate with engineers, data scientists, and AI specialists to refine training datasets.
- Evaluate and annotate code generated by AI to ensure technical accuracy and clarity.
- Analyze AI performance on frontend development tasks, identifying strengths and improvement areas.
- Update and maintain a library of best practices and coding standards for AI training.
- Communicate insights and feedback clearly to cross-functional team members.
- Champion the importance of robust written and verbal communication within the team.
Key Skills:
- Bachelor’s degree in Computer Science or a related technical discipline.
- Minimum of 3 years’ experience in frontend engineering roles.
- Proven expertise in modern JavaScript, including ES6+.
- Hands-on experience with React, Vue, and Angular frameworks.
- Strong track record in designing and developing complex frontend applications.
- Exceptional written and verbal communication skills, with a keen eye for detail.
- Ability to break down complex technical concepts for both technical and non-technical audiences.
- Experience in code review, documentation, and collaborative software development.
- Passion for building high-quality, user-centric solutions and training the next generation of AI.
Salary (Rate): undetermined
City: undetermined
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Job Title: Frontend Engineer/Developer- AI Trainer
Job Type: Contract, (Full-time or Part-time)
Location: Remote, UK
Job Summary: Join our customer's team as a Frontend Engineer- AI Trainer and play a pivotal role at the intersection of cutting-edge web technologies and artificial intelligence. As a talented frontend engineer, you will leverage your expertise to train AI systems, enhancing their understanding and performance in real-world scenarios. This is an exciting opportunity to contribute to groundbreaking projects while working in a remote, highly collaborative environment.
Key Responsibilities:
- Develop and curate high-quality front-end coding samples and scenarios to facilitate AI model training.
- Collaborate with engineers, data scientists, and AI specialists to refine training datasets.
- Evaluate and annotate code generated by AI to ensure technical accuracy and clarity.
- Analyze AI performance on frontend development tasks, identifying strengths and improvement areas.
- Update and maintain a library of best practices and coding standards for AI training.
- Communicate insights and feedback clearly to cross-functional team members.
- Champion the importance of robust written and verbal communication within the team.
Required Skills and Qualifications:
- Bachelor’s degree in Computer Science or a related technical discipline.
- Minimum of 3 years’ experience in frontend engineering roles.
- Proven expertise in modern JavaScript, including ES6+.
- Hands-on experience with React, Vue, and Angular frameworks.
- Strong track record in designing and developing complex frontend applications.
- Exceptional written and verbal communication skills, with a keen eye for detail.
- Ability to break down complex technical concepts for both technical and non-technical audiences.
- Experience in code review, documentation, and collaborative software development.
- Passion for building high-quality, user-centric solutions and training the next generation of AI.
Preferred Qualifications:
- Background in AI, machine learning, or data annotation.
- Prior experience in training, mentoring, or curriculum development for engineers.
- Familiarity with large language models or AI-powered development tools.