Mitra Setya Darma

Key Skills

Software

Google Cloud Vertex AI

Remotasks

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Image

Text

Top Label Types

Question Answering

Object Detection

Data Collection

Freelancer Overview

I am a detail-oriented Information Systems graduate with strong experience in data validation, structured documentation, and manual information verification. I have worked extensively with Excel-based data organization, cross-referencing multiple open sources, and ensuring accuracy in structured datasets. My background in systems analysis and research has trained me to carefully review information, resolve inconsistencies logically, and document verified results clearly. I am highly comfortable performing manual annotation tasks without automation tools and maintaining consistency across large volumes of records.

Labeling Experience

AI Data Annotation & Verification – DataAnnotation.tech

Google Cloud Vertex AITextQuestion AnsweringObject Detection

Worked as a remote AI Data Annotator contributing to LLM training and evaluation projects. Performed detailed manual verification of text-based datasets, including company profiling, entity validation, and information cross-referencing using open-source materials. Identified inconsistencies, corrected inaccurate entries, and ensured structured formatting according to project guidelines. Applied logical reasoning to resolve conflicting data points and maintained high accuracy standards without the use of automation tools. Contributed to improving model reliability through consistent and high-quality annotations.

Worked as a remote AI Data Annotator contributing to LLM training and evaluation projects. Performed detailed manual verification of text-based datasets, including company profiling, entity validation, and information cross-referencing using open-source materials. Identified inconsistencies, corrected inaccurate entries, and ensured structured formatting according to project guidelines. Applied logical reasoning to resolve conflicting data points and maintained high accuracy standards without the use of automation tools. Contributed to improving model reliability through consistent and high-quality annotations.

2025

Education

Work History