Darasimi A.

Key Skills

Software

Other

Top Subject Matter

Music search relevance rating (Japanese market)

AI training

linguistic analysis

Top Data Types

Text

Video

Image

Document

Top Task Types

Action Recognition

Freelancer Overview

Search Relevance Rater — Apple Music Classical (Japanese Market) (Contractor). Brings 5+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Internal, Proprietary Tooling, and Other. Education includes Bachelor of Science, Covenant University (2024). AI-training focus includes data types such as Text and Video and labeling workflows including Evaluation, Rating, and Action Recognition.

Labeling Experience

Search Relevance Rater — Apple Music Classical (Japanese Market) (Contractor)

Text

Evaluated the quality and accuracy of music search results for Apple Music Classical targeting the Japanese market using Apple’s internal rating rubric. Rated queries across composer navigational, mood/activity, song functional, artist, era, and instrument categories against a curated results set. Applied nuanced judgment for edge cases including explicit vs clean versions, regional catalog differences, and Japanese-language metadata handling. • Search relevance rating for Japanese music queries • Quality and accuracy assessment against curated results sets • Edge-case handling for version and catalog classifications • Met productivity and quality metrics under contract SLAs

2025 - Present

AI Trainer, Data Annotator & Linguistic Analyst — Sigma.AI / Meridial / Turing (Various Platforms)

OtherText

Performed structured text annotation and linguistic analysis for AI contractor platforms, ensuring compliance with detailed annotation guidelines. Conducted search relevance rating and evaluated model outputs as part of AI quality assurance tasks. Delivered AI tutoring and training support by teaching individuals and small teams how to use major AI tools effectively and producing tailored prompt libraries and demonstrations. • Structured text annotation per platform guidelines • Search relevance rating and model output evaluation • Linguistic analysis and annotation QA compliance • AI tutoring and prompt-library creation for client use cases

2024 - Present

Video Content Annotator — Contractor (Structured Annotation Project)

VideoAction Recognition

Completed structured video annotation by captioning and labeling multi-modal content using project-specific guidelines. Labeled elements including foreground motion and scene changes while generating visual and audio captioning outputs. Maintained accuracy and consistency across assigned video batches and rubric requirements. • Foreground motion annotation • Scene change captioning/annotation • Multi-modal (visual + audio) captioning • Rubric adherence and annotation consistency checks

2024 - 2024

Education

Work History