Job Title: Backend Engineer - AI trainer

Job Type: Part-time

Location: Remote

Job Summary

Join our customer's team as a Backend Engineer - AI trainer and play a pivotal role in shaping the future of AI-driven backend solutions. As a subject matter expert, you will leverage your backend engineering expertise to train and refine cutting-edge AI systems, contributing to high-impact projects and continuous product innovation.

Key Responsibilities

- Collaborate closely with cross-functional teams to design, build, and optimize backend architectures for AI training initiatives

- Develop, test, and maintain code samples, technical documentation, and prompts used to train and evaluate AI models

- Guide the AI training process by providing domain expertise, reviewing outputs, and supplying insightful feedback

- Participate in the full prompt engineering cycle, ensuring clarity, accuracy, and scalability of backend training tasks

- Analyze model performance, identify improvement areas, and drive quality enhancements

- Foster knowledge sharing and promote best practices within the team through clear written and verbal communication

- Stay updated on the latest backend and AI technologies to continuously improve training methodologies

Required Skills and Qualifications

- Bachelor’s degree in Computer Science or a related technical field

- Minimum 2 years of professional experience in backend engineering

- Demonstrated expertise in server-side programming languages (such as Python, Java, or Node.js)

- Solid understanding of software design patterns, RESTful APIs, and database management

- Strong written and verbal communication skills, with an emphasis on clear and concise knowledge transfer

- Experience working on projects related to AI, machine learning, or prompt engineering

- Ability to work independently in a remote, part-time environment, meeting deadlines and delivering quality results

Preferred Qualifications

- Prior experience training or fine-tuning AI models as a subject matter expert

- Familiarity with cloud infrastructure and deployment (e.g., AWS, GCP)

- Experience in code review, technical mentorship, or educational content creation

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