Cobol Programmer - AI Trainer

We are looking for experienced COBOL developers who can read, understand, debug, and write production-quality COBOL code. You will work on tasks that help train and evaluate AI models on legacy software engineering workflows, especially mainframe-style codebases.

• Read and interpret COBOL programs, copybooks, JCL, and related mainframe code.
• Write clean, correct COBOL code based on technical requirements.
• Debug COBOL logic and identify issues in existing programs.
• Explain code behavior, business logic, and data flow clearly.
• Review AI-generated COBOL solutions for correctness, completeness, and style.
• Create or evaluate test cases for COBOL programs.
• Provide high-quality feedback to improve AI model performance on legacy code tasks.

• Strong hands‑on experience with COBOL development.
• Ability to read and write COBOL code independently.
• Familiarity with mainframe environments such as IBM z/OS is preferred.
• Experience with JCL, VSAM, DB2, CICS, or copybooks is a plus.
• Strong debugging and code review skills.
• Clear written communication in English.
• Prior experience in banking, insurance, government, or enterprise legacy systems is a plus.

• Has worked on real‑world COBOL systems, not just academic examples.
• Can explain legacy code clearly to both technical and non‑technical audiences.
• Is comfortable evaluating code quality and reasoning through edge cases.
• Has experience maintaining or modernising large legacy codebases.

• Contribute to cutting‑edge AI systems focused on software engineering.
• Help models better understand and support legacy enterprise code.
• Work on intellectually engaging code evaluation and generation tasks.
• Flexible opportunity for experienced COBOL engineers.