Mainframe COBOL AI Training Developer

About OpenTrain

OpenTrain AI is the #1 platform for finding and building careers in AI training and data labeling. We help contributors discover specialized projects, build a professional profile, and grow their experience in a rapidly expanding field.

• Create a profile and apply for AI training opportunities in minutes
• Build a lasting portfolio around your technical expertise
• Work remotely on projects that help shape how AI systems understand software

About AI Training Work

AI training is the human side of building artificial intelligence. Technical experts prepare examples, review model outputs, and provide precise feedback so AI systems can better understand complex subjects such as enterprise code and legacy software.

• Apply practical expertise to cutting-edge AI development
• Work remotely with flexible project schedules
• Help models reason more accurately about real-world programming concepts

The Role

OpenTrain AI is seeking a Mainframe COBOL AI Training Developer to create high-quality training data from real-world legacy software. You will use deep COBOL expertise to explain established systems, assess technical scenarios, and provide accurate feedback that helps AI systems understand and reason about enterprise code.

This is a remote individual contractor opportunity advertised at $90–$126 per hour. The role requires a commitment of 20 or more hours per week and is conducted in English.

• Employment type: Contractor and part-time
• Work location: Remote, worldwide
• Advertised compensation: $90–$126 per hour
• Expected availability: 20+ hours per week
• Primary language: English

What You'll Do

You will translate complex COBOL and mainframe behavior into clear, reliable material for machine learning datasets. Your work will combine code analysis, technical writing, evaluation, and scenario design.

• Analyze and interpret COBOL codebases, including their logic, workflows, and business rules
• Write clear technical documentation that explains legacy-system behavior accurately and accessibly
• Evaluate sample code and project scenarios for edge cases, ambiguities, and potential concerns
• Review and annotate COBOL scripts or pseudocode for machine learning datasets
• Design test cases and scenario outlines representing real-world COBOL applications
• Communicate with project coordinators and technical experts while maintaining accuracy and completeness
• Manage deliverables independently and meet project milestones in a remote setting

Requirements

This opportunity is suited to a domain expert with substantial practical COBOL and mainframe experience. Although the listing is marked entry level, the work requires deep proficiency and proven professional experience developing COBOL across diverse business domains.

• Deep COBOL development experience across diverse business domains
• Strong ability to decode complex legacy systems and explain their logic, workflows, and business rules
• Experience producing precise, user-friendly technical documentation
• Exceptional written and verbal communication skills
• Close attention to clarity, accuracy, and detail
• Familiarity with mainframe environments and related tooling
• Judgment in identifying edge cases and ambiguities in code and project scenarios
• Ability to work autonomously, manage deliverables, and meet milestones remotely

Helpful Background

Experience with large-scale migration, integration, or modernization projects is helpful. Prior AI or machine learning experience is not required; the role is based on practical COBOL and mainframe expertise.

Why Work With OpenTrain

OpenTrain gives AI-training contributors a place to develop a durable professional portfolio around their skills. By documenting your experience and completing specialized projects, you can discover opportunities that match your background and grow in the fast-moving AI industry.

• Free account creation
• Remote work across the global OpenTrain community
• A profile that showcases your AI training and technical experience
• Opportunities to turn specialized expertise into a long-term AI training portfolio