Beschreibung
We are seeking an experienced Frontend Developer to contribute to the quality and success of our AI Model Training in Coding Practices. This role requires expertise in frontend development, including HTML, CSS, JavaScript, and responsive design principles. As a Code Reviewer, you will ensure the accuracy, efficiency, and high standards of data used for training cutting-edge AI models. The ideal candidate will have proficiency in English and German ensuring the development of high-quality multilingual outputs.
Your work will directly impact the development of robust AI systems by refining and validating code samples and processes, helping create AI tools that excel in real-world scenarios.
Qualifications:
Experience: At least 3 years of hands-on experience in frontend development, including expertise in HTML, CSS, JavaScript, and responsive design principles.
Language Proficiency: Minimum B2 level English proficiency for effective communication and documentation.
Attention to Detail: A meticulous approach to code review, ensuring precision and adherence to best practices in web development.
Problem-Solving Skills: Ability to troubleshoot and propose solutions for complex frontend challenges with minimal supervision.
Analytical Thinking: Strong analytical skills to assess and improve Development processes and training data quality.
Key Responsibilities:
Quality Control: Review and maintain code quality to meet or exceed Service Level Agreement (SLA) standards as outlined in customer contracts.
Code Assessment: Evaluate and provide feedback on frontend code snippets, ensuring best practices in areas like performance optimization, responsiveness, and user accessibility.
Spot Checking and QA: Conduct quality assessments of items generated for LLM Data Training, focusing on code accuracy, efficiency, and alignment with frontend Developer standards.
Documentation: Provide clear and concise explanations for code adjustments, highlighting improvements and solutions to common frontend challenges.
Process Validation: Validate Developer processes and procedures to ensure their consistency and applicability in web development scenarios.
Collaboration: Work closely with cross-functional teams, including data Trainer and Project Manager, to align on project goals and requirements.
Your work will directly impact the development of robust AI systems by refining and validating code samples and processes, helping create AI tools that excel in real-world scenarios.
Qualifications:
Experience: At least 3 years of hands-on experience in frontend development, including expertise in HTML, CSS, JavaScript, and responsive design principles.
Language Proficiency: Minimum B2 level English proficiency for effective communication and documentation.
Attention to Detail: A meticulous approach to code review, ensuring precision and adherence to best practices in web development.
Problem-Solving Skills: Ability to troubleshoot and propose solutions for complex frontend challenges with minimal supervision.
Analytical Thinking: Strong analytical skills to assess and improve Development processes and training data quality.
Key Responsibilities:
Quality Control: Review and maintain code quality to meet or exceed Service Level Agreement (SLA) standards as outlined in customer contracts.
Code Assessment: Evaluate and provide feedback on frontend code snippets, ensuring best practices in areas like performance optimization, responsiveness, and user accessibility.
Spot Checking and QA: Conduct quality assessments of items generated for LLM Data Training, focusing on code accuracy, efficiency, and alignment with frontend Developer standards.
Documentation: Provide clear and concise explanations for code adjustments, highlighting improvements and solutions to common frontend challenges.
Process Validation: Validate Developer processes and procedures to ensure their consistency and applicability in web development scenarios.
Collaboration: Work closely with cross-functional teams, including data Trainer and Project Manager, to align on project goals and requirements.