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Dalid Mosquera

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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

AI Evaluation & Training Specialist · Micro1Apr 2026 – Present · 8 mos

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.

Video Annotation Specialist, VLA · Micro1Mar 2026 – Jul 2026 · 5 mos

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.

Software Engineering & AI Task Development · Micro1Jan 2026 – Present · 11 mos

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.

Software Engineer, MCP Tools & Agentic AI · Frontier LLM LabJan 2025 – Present · 1 yr 11 mos
ML Research Assistant · University of VirginiaJan 2024 – May 2025 · 1 yr 5 mos
AI Artifact Evaluator & MLOps Trainer · Upwork / FiverrAug 2023 – Present · 3 yrs 4 mos
Computer Vision Annotator & Model Trainer · Freelance / RoboflowFeb 2023 – Jan 2025 · 2 yrs
AI Trainer & LLM Evaluator · Outlier AI / Scale AI / Appen / Lionbridge AISep 2020 – Feb 2025 · 4 yrs 6 mos

Education

M.S. Computer Science (Artificial Intelligence & Machine Learning) · University of Virginia2023 – 2025
B.S. Computer Science (Intelligent Systems & Data Science) · University of Florida2019 – 2023

Certifications and awards

Scale AI Annotator Certification2023 – 2026
DeepLearning.AI NLP Specialization2023 – 2026
HuggingFace NLP with Transformers2023 – 2026
Google Project Management Certificate2024 – 2026

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