π Hiring Now: COBOL Developer β Remote | Contract
Experience: 5+ Years
π Location: Remote
π
Engagement Type: Contract
π§ Domain: AI / Large Language Models (LLMs)
π¨βπ» Industry: Foundational LLM / AI Research Company
π About the Role
Join a cutting-edge project working with one of the leading foundational LLM companies. Your primary role will be to contribute high-quality COBOL-based code that serves as fine-tuning and evaluation data for training large language models (LLMs).
You wonβt be building or fine-tuning the LLMs directly. Instead, your COBOL programming expertise will help improve model responses through Supervised Fine-Tuning (SFT) and Reinforcement Learning with Human Feedback (RLHF).
π§© Your Day-to-Day Involves:
- Writing and maintaining clean, efficient COBOL code for training datasets.
- Evaluating and comparing model outputs across prompts and scenarios.
- Providing explanations and rationales to rank or assess model behavior.
- Designing new evaluation strategies and benchmarks.
- Collaborating with researchers, annotators, and engineers to support RLHF efforts.
- Reviewing peer work to ensure quality and adherence to best practices.
- Continuously optimizing COBOL-based sample data creation workflows.
π οΈ Key Requirements:
- 3+ years of COBOL experience (5+ overall work experience)
- Strong grasp of COBOL programming concepts, frameworks, and libraries
- Familiarity with COBOLβs testing ecosystem (unit, integration, property-based)
- Ability to debug, refactor, and write testable, production-ready COBOL code
- Understanding of asynchronous programming and architectural patterns
- Excellent communication skills β written and verbal (English)
π§ Why This Role is Unique:
- Work at the intersection of legacy systems and modern AI
- Contribute to next-gen LLM models using real-world COBOL data
- 100% Remote β Global Collaboration
- Part of a pioneering initiative in AI evaluation and optimization
π¬ Apply / Refer:
π§ riyaz.ltpl@gmail.com
π± WhatsApp: +91 9595175635
π Telegram: Rozgaar Ki Nayi Duniya
π Blog: https://worknestprox.com
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