Description
About the Opportunity
A leading AI research organization is evaluating how advanced AI systems perform in specialized engineering domains, and is seeking expert engineers with deep, hands-on production experience in COBOL. The immediate focus is a benchmark of roughly 100 tasks centered on database migration in COBOL — you'll apply your mainframe expertise to assess complex, real-world technical scenarios and directly shape how cutting-edge AI performs on mainframe systems.
What You'll Do
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Apply your language expertise to evaluate technical tasks against real-world professional standards
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Review intricate code-level situations — including database migration scenarios — and provide precise, structured written assessments
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Provide clear written rationales explaining your expert judgments
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Complete well-defined, time-bounded tasks with explicit evaluation criteria
Who We're Looking For
We value strong engineering fundamentals, fast ramp-up, and high ownership. The ideal candidate brings:
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5+ years of professional COBOL development — IBM mainframe (z/OS) production work; JCL, CICS, VSAM, DB2; banking, insurance, or government systems
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Demonstrated project, professional, or research experience in one of the following supplemental languages: Rust, C++, Java, Kotlin/JVM, Python
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Experience with financial system backends (e.g., banking, insurance) is a strong plus, especially anything touching data or database migration work
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Ability to articulate not just what code does but why it's correct or idiomatic, clearly in writing
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Welcomed: practitioners from banking, insurance, or government backgrounds; non-traditional digital footprints are fine — a GitHub profile is not required
Why This Work Matters
COBOL runs critical infrastructure in global banking, insurance, and government systems, yet remains among the least-represented domains in AI research. The expertise you bring is rare, and your assessments directly influence how AI systems learn to operate in it.
Engagement Details
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Compensation: $100–200/hour, based on depth and experience
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This is a one-week sprint: a 2–3 day pilot, iteration on the production task set, then roughly a week of production work. Kickoff is targeted for this Friday, and we need experts who can stay highly engaged throughout
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No proprietary tooling required — tasks are completable without employer-provided systems (no mainframe access needed)
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