Software Engineering - AI Trainer

Job Title: Software Engineer - AI TrainerJob Type: Part-timeLocation: RemoteJob SummaryJoin our customer’s team as a Software Engineer – AI Trainer and play a direct role in shaping the next generation of artificial intelligence. In this unique and impactful position, your software engineering expertise will drive the training and refinement of cutting-edge AI models, ensuring they operate at the highest industry standards. Work remotely within a collaborative environment and help define the future of intelligent technology while honing your technical and communication skills.Key ResponsibilitiesCollaborate with AI development teams to train and validate AI models on software engineering concepts, programming methodologies, and system architectures.Analyze and annotate software engineering datasets, enhancing the accuracy and relevance of AI-powered solutions.Provide in-depth explanations and technical feedback on tasks involving software design patterns, algorithms, data structures, APIs, and application development.Review and critique AI-generated outputs for technical correctness, completeness, and alignment with current software engineering practices.Contribute to the improvement of training datasets by identifying gaps, performing high-quality annotations, and suggesting additional relevant data sources.Act as a subject matter expert, offering guidance on coding standards, system design, debugging, testing strategies, and the adoption of emerging technologies.Communicate complex technical concepts clearly and effectively in both written and verbal forms to a range of audiences.Required Skills and QualificationsMaster’s degree or higher in Computer Science, Software Engineering, or related discipline, OR 4+ years of relevant professional experience.Strong software development background and proficiency in languages such as Python, Java, C++, or JavaScript.Solid grasp of data structures, algorithms, and object-oriented programming principles.Hands-on experience with APIs, cloud computing environments, CI/CD pipelines, and software quality/testing methodologies.Ability to interpret codebases, technical documentation, and system designs, and troubleshoot software engineering challenges.Exceptional written and verbal communication skills with attention to clarity and detail.Comfortable working remotely using digital collaboration tools and demonstrating a proactive, analytical approach to problem solving.Preferred QualificationsExperience in AI model training, data annotation, or machine learning-related projects.Familiarity with AI frameworks, automation tools, or large-scale system architecture.Advanced certifications such as AWS Certified Developer, Google Cloud Engineer, or Machine Learning Specializations.