Software Engineering - AI Trainer

Job Title: Software Engineer - AI Trainer

Job Type: Part-time

Location: Remote

Job Summary
Join 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 Responsibilities

• Collaborate 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 Qualifications

• Master’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 Qualifications

• Experience 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.