Software Engineer (CoT) - AI Trainer

Job Title: Software Engineer (CoT) - AI Trainer

Job Type: Part-time

Location: Remote

Job Summary:

Join our dynamic customer's team as a Software Engineer (CoT) - AI Trainer, where you will leverage your expertise to shape the future of AI training. Your deep understanding of Chain-of-Thought (CoT) reasoning and hands-on software engineering experience will help create high-quality SFT datasets that power advanced AI applications. This is an exciting opportunity to combine your technical skills and passion for AI in a flexible, remote role.

Key Responsibilities:

• Design and develop SFT datasets using industry-leading best practices based on real-world software engineering scenarios.
• Apply Chain-of-Thought (CoT) techniques to curate, annotate, and enhance AI training data.
• Collaborate closely with the customer’s team to align dataset objectives with evolving AI models and product requirements.
• Participate in iterative feedback cycles to refine datasets and improve model outputs.
• Provide detailed written and verbal documentation of dataset creation processes and thought methodologies.
• Stay updated on the latest trends in AI, SFT, and CoT to ensure data quality and relevance.
• Contribute insights as a seasoned software engineer to simulate realistic development workflows within datasets.

Required Skills and Qualifications:

• Proven experience in Python development, with a solid understanding of software engineering principles.
• Hands-on expertise in Chain-of-Thought (CoT) frameworks and methodologies.
• Demonstrated ability to create or annotate Supervised Fine-Tuning (SFT) datasets.
• Exceptional written and verbal communication skills, with a strong attention to detail.
• Ability to work independently in a remote, part-time setting while managing deliverables effectively.
• Analytical mindset with a passion for AI, data quality, and continuous learning.
• Track record of collaborating with technical teams or cross-functional stakeholders.

Preferred Qualifications:

• Prior experience in AI training, LLM development, or prompt engineering.
• Familiarity with dataset evaluation tools and quality metrics.
• Contributions to open-source projects or active engagement in AI/software engineering communities.