LLM Trainer

This position is within a project with one of the foundational LLM companies. The goal is to assist these foundational LLM companies in enhancing their Large Language Models.

What does day-to-day look like:

• Design, develop, and maintain code modules in Pascal, Delphi, or related dialects.
• Refactor legacy Pascal codebases to enhance performance, maintainability, and readability.
• Create high-quality code-plus-instruction datasets used to fine-tune conversational coding assistants.
• Ensure code samples are syntactically correct, well-commented, and self-contained.
• Write developer-friendly documentation to support model evaluation and human review.
• Evaluate LLM-generated Pascal outputs and provide constructive, structured feedback for model improvement.
• Collaborate with peers on dataset quality reviews and alignment with project guidelines.
• Follow rigorous formatting and quality control standards to ensure data integrity and value.
• Contribute to prompt design, tooling feedback, and optimization of task workflows.

Requirements:

• 4+ years of professional experience in Pascal or Delphi development.
• Strong understanding of procedural programming paradigms, type systems, and BEGIN…END structured blocks.
• Proven debugging, profiling, and performance tuning skills in Pascal applications.
• Solid grasp of Git, version control workflows, CI/CD processes, and testing best practices.
• Excellent written and verbal communication skills in English.

Preferred / Nice-to-Have:

• Experience with FCL (Form Calculation Language) or Intuit’s Tax Programming System (TPS).
• Background in TurboTax workflows or other financial/tax software systems.
• Familiarity with domain-specific DSLs or experience modernizing legacy codebases.
• Exposure to AI-assisted development tools, cloud environments (AWS, GCP), or containerization (Docker, Kubernetes).

Job Type: Full-time

Pay: ₦30,579.00 - ₦35,000.00 per hour

Experience:

• PAscal/Delphi: 5 years (Preferred)
• Form Calculation Language: 3 years (Preferred)
• LLM Trainer: 8 years (Preferred)