Software Engineer - AI trainer

Job Description

Job Title: Software Engineer - AI trainer

Job Type: Full-time

Location: Remote

Job Summary

Join our customer's team as a Software Engineer - AI trainer, where your technical acumen and attention to detail will help shape the next generation of AI coding tools. In this engaging role, you will critically review and evaluate AI-generated code, ensuring high standards of quality and providing insightful feedback to improve large language models. If you are passionate about code quality, model evaluation, and the advancement of AI, this is an exceptional opportunity to make a direct impact.

Key Responsibilities

• Review and assess model-generated code for correctness, efficiency, and compliance with requirements.
• Perform quality control on debugging and code-fixing tasks, identifying and documenting errors or inconsistencies.
• Stress-test AI models with a variety of prompts and test cases, benchmarking against competitors.
• Deliver structured, written feedback and insightful reports on model performance to drive continuous improvement.
• Collaborate remotely with cross-functional teams, sharing findings and participating in knowledge exchange.
• Apply strong analytical skills to annotate and evaluate code outputs, maintaining a high standard of quality.
• Contribute to the technical evaluation process by critiquing code and model decisions, rather than developing new systems.

Required Skills and Qualifications

• 2–5 years of hands-on coding experience (junior to mid-level), especially in Python, SQL, React, and Node.js.
• Deep understanding of software development principles and best practices.
• Proven ability to review, debug, and critique code critically with a keen eye for detail.
• Experience with AI model training, machine learning concepts, and prompt engineering.
• Strong analytical, written, and verbal communication skills, essential for remote collaboration and technical reporting.
• Motivated by annotation, evaluation, and quality control work rather than system building.
• Adaptable and proactive in a fast-changing, innovative environment.

Preferred Qualifications

• Experience with large language models or similar AI technologies.
• Background in technical writing or report generation.
• Familiarity with model benchmarking and performance evaluation methodologies.