COBOL Expert (SME) - Freelance Project

World Wide - Remote
Posted 7 months ago
Expires June 9, 2026
ContractRemoteEngineering

We are seeking a highly experienced COBOL professional to serve as a consultant on AI training data projects for leading AI model builders and enterprises. Your focus will be to define success criteria, review outputs, and provide targeted guidance to improve quality and speed—directly contributing to the successful delivery of domain-specific annotated datasets and code samples that meet the highest technical standards. You will be engaged on specific projects with clearly defined deliverables, milestones, and end dates.

In this role, you will define COBOL-specific quality success metrics for code annotation and dataset labeling projects. Responsibilities include developing project-specific SOPs, QA rubrics, and reference materials to ensure outputs align with client technical standards. You will review project outputs, conduct structured QA passes, and provide precise remediation notes to contractors. Additionally, you will offer advisory input on tools, frameworks, and workflow improvements to maintain quality benchmarks in mainframe and batch-processing environments.

The ideal candidate has over 5 years of professional experience in COBOL programming, mainframe systems, or enterprise application maintenance, with demonstrable project impact. Mastery of COBOL is required, and familiarity with JCL, DB2, CICS, or VSAM is preferred. Strong communication skills are essential, with the ability to convey technical feedback clearly to both engineers and non-technical reviewers. Experience developing technical documentation, QA frameworks, or training content for legacy or mainframe systems is also desired.

As a freelance consultant, you will have the flexibility to work remotely on specific projects with clearly defined deliverables, milestones, and end dates. This role offers the opportunity to collaborate with leading AI model builders and enterprises, contributing to the advancement of AI training data projects.

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