COBOL Code Reading / Writing Expert - review AI outputs in your specialty

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.

Responsibilities

• 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.

Requirements

• 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.

Ideal Candidate

• 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.

Why Join

• 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.