Dalid Mosquera
I’m Dalid Mosquera, an AI/LLM evaluation specialist and software engineering contributor with 6+ years of hands-on experience building rubric-based evaluation workflows and creating training data for modern AI systems.
About
I’m Dalid Mosquera, an AI/LLM evaluation specialist and software engineering contributor with 6+ years of hands-on experience building rubric-based evaluation workflows and creating training data for modern AI systems. I’ve worked across RLHF preference data, SFT data creation, and detailed technical review—always focused on making judgments consistent, explainable, and actionable for model improvement.
Alongside evaluation, I design and deliver software that supports real engineering workflows, including deterministic test suites and Dockerized development environments for reproducibility. My work also includes VLA video annotation for vision-language-action training data and agentic AI/MCP tool development, connecting evaluation rigor with practical tooling to improve how AI systems learn and perform.
- 6 years' experience
- Joined September 2026
Industry experience
- Software & Internet
- Education
- Computers & Electronics
- Professional Services
- Other
Work experience· 8 roles
Evaluates AI-generated responses against structured rubrics covering correctness, relevance, instruction-following, clarity, and guideline compliance. Writes clear, structured, policy-grounded feedback and explanations justifying evaluation decisions to support AI model improvement, performing consistent asynchronous evaluations aligned with project guidelines.
Annotated videos of everyday activities and household tasks to produce training data for Vision-Language-Action robotics/embodied-AI models using Encord. Followed detailed temporal action/object/task labeling guidelines and cross-validated labeling workflows with CVAT, Labelbox, and Supervisely conventions.
Develops technically substantial, multi-file software projects aligned with real-world engineering workflows. Creates structured development challenges with clear requirements and detailed documentation, writes deterministic test suites for correctness and reproducibility, and containerizes development/testing environments with Docker. Applies modern testing/build/code-quality practices to validate implementation quality.
Education
Certifications and awards
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