Software Engineer - AI Trainer

Job Title: Software Engineer - AI Trainer

Job Type: Part-time

Location: Remote

About Us:

Our mission at micro1 is to match the most talented people in the world with their dream jobs. If you are looking to be at the forefront of AI innovation and work with some of the fastest-growing companies in Silicon Valley, we invite you to apply for a role. By joining the micro1 community, your resume will become visible to top industry leaders, unlocking access to the best career opportunities on the market.

Job Summary:

Join our customer’s team as a Software Engineer - AI Trainer, where your expertise will directly shape the next generation of AI models. In this pivotal role, you will leverage your software engineering skills and unique experience with Chain-of-Thought (CoT) annotations to enhance machine understanding and problem-solving capabilities. If you care deeply about clear, impactful communication and have a passion for AI innovation, we want to hear from you.

Key Responsibilities:

• Guide and mentor AI models using real-world software engineering scenarios and Chain-of-Thought reasoning.

• Annotate and structure data inputs, providing nuanced feedback to improve AI learning outcomes.

• Collaborate with cross-functional teams to refine annotation processes and contribute to training protocol development.

• Analyze and assess the performance of AI models, identifying areas for improvement.

• Document and articulate complex problem-solving steps in both written and verbal formats.

• Maintain high standards for data quality and consistency across all training tasks.

• Stay updated with the latest trends in AI and software engineering best practices.

Required Skills and Qualifications:

• Minimum 3 years’ experience as a Software Engineer, with strong proficiency in Python.

• Demonstrated expertise in Chain-of-Thought (CoT) annotation and reasoning.

• Exceptional written and verbal communication skills, with the ability to convey complex concepts clearly.

• Proven experience working remotely and collaborating with distributed teams.

• Detail-oriented mindset with a commitment to accuracy and quality.

• Ability to analyze, interpret, and break down complex software engineering problems.

• Strong organizational and documentation skills.

Preferred Qualifications:

• Prior experience in AI training, data annotation, or human-in-the-loop machine learning.

• Familiarity with large language models and related AI technologies.

• Background in educational or technical mentorship roles.