Ni Wiryawan

Key Skills

Software

Other

Appen

iMerit

Clickworker

Mercor

Micro1

OneForma

Telus

Top Subject Matter

Statistical AI Evaluation

General AI Data Labeling

Multilingual Data Annotation

Top Data Types

Text

Image

Video

Top Task Types

Data Collection

Classification

Bounding Box

Transcription

Evaluation/Rating

Computer Programming/Coding

Function Calling

Prompt + Response Writing (SFT)

Text Generation

Object Detection

Question Answering

Text Summarization

RLHF

Fine-tuning

Segmentation

Polygon

Entity (NER) Classification

Point/Key Point

Polyline

Cuboid

Red Teaming

Freelancer Overview

AI Evaluation and Training Specialist. Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other, Appen, and RWS Group. Education includes Bachelor of Computer Systems, STIKOM Bali (2007). AI-training focus includes data types such as Text and Image and labeling workflows including Evaluation, Rating, and Data Collection.

Labeling Experience

AI Training Specialist / Data Annotator

Text

Contributed to AI model training through data labeling, evaluation, and feedback-focused annotation tasks. Assessed AI-generated outputs for accuracy, relevance, and safety while providing comprehensive feedback. Adapted to evolving guidelines and delivered quality results according to complex project instructions. • Participated in remote annotation teams • Supported model performance enhancements • Identified potential safety issues • Responded flexibly to project changes

Contributed to AI model training through data labeling, evaluation, and feedback-focused annotation tasks. Assessed AI-generated outputs for accuracy, relevance, and safety while providing comprehensive feedback. Adapted to evolving guidelines and delivered quality results according to complex project instructions. • Participated in remote annotation teams • Supported model performance enhancements • Identified potential safety issues • Responded flexibly to project changes

Not specified

AI Data Annotator

ImeritImageBounding Box

Annotated image and text data to support machine learning model training for AI projects. Carried out bounding box, classification, and tagging tasks while collaborating with quality assurance teams. Maintained data consistency across large datasets and focused on refining annotation accuracy. • Completed precise image labeling • Improved annotation flow with feedback • Supported scalable annotation projects • Ensured reliable data quality

Annotated image and text data to support machine learning model training for AI projects. Carried out bounding box, classification, and tagging tasks while collaborating with quality assurance teams. Maintained data consistency across large datasets and focused on refining annotation accuracy. • Completed precise image labeling • Improved annotation flow with feedback • Supported scalable annotation projects • Ensured reliable data quality

Not specified

Data Annotator

TextClassification

Labeled and categorized multilingual data for AI and machine learning model development. Validated datasets to ensure they met standards for accuracy and completeness, applying content moderation filters as needed. Maintained strict adherence to project-specific guidelines and achieved targeted quality benchmarks. • Filtered inappropriate or irrelevant data • Validated and reviewed assigned tasks • Worked remotely on AI model data • Ensured comprehensive dataset coverage

Labeled and categorized multilingual data for AI and machine learning model development. Validated datasets to ensure they met standards for accuracy and completeness, applying content moderation filters as needed. Maintained strict adherence to project-specific guidelines and achieved targeted quality benchmarks. • Filtered inappropriate or irrelevant data • Validated and reviewed assigned tasks • Worked remotely on AI model data • Ensured comprehensive dataset coverage

Not specified

Freelance Data Annotator

AppenTextData Collection

Performed data annotation and labeling of text, image, and search relevance datasets for AI training projects. Evaluated and improved search engine result relevance and user intent through careful data scoring. Adhered to annotation guidelines to produce accurate and consistent output under deadlines. • Conducted quality checks regularly • Worked independently in a remote setting • Maintained high accuracy in repetitive tasks • Delivered results for multiple projects

Performed data annotation and labeling of text, image, and search relevance datasets for AI training projects. Evaluated and improved search engine result relevance and user intent through careful data scoring. Adhered to annotation guidelines to produce accurate and consistent output under deadlines. • Conducted quality checks regularly • Worked independently in a remote setting • Maintained high accuracy in repetitive tasks • Delivered results for multiple projects

Not specified

AI Evaluation and Training Specialist

OtherText

Evaluated AI-generated statistical solutions for correctness, reviewing mathematical logic, assumption validity, and constraints in quantitative problems. Applied structured scoring rubrics to assess AI reasoning, identifying errors in statistical methodology, calculation accuracy, and result interpretation. Provided detailed feedback to improve statistical rigor, aligning outputs with professional standards in hypothesis testing and analysis. • Supported data quality assurance for AI training systems • Designed validation test cases for statistical reasoning • Simulated real-world analytical workflows • Ensured dataset accuracy and consistency

Evaluated AI-generated statistical solutions for correctness, reviewing mathematical logic, assumption validity, and constraints in quantitative problems. Applied structured scoring rubrics to assess AI reasoning, identifying errors in statistical methodology, calculation accuracy, and result interpretation. Provided detailed feedback to improve statistical rigor, aligning outputs with professional standards in hypothesis testing and analysis. • Supported data quality assurance for AI training systems • Designed validation test cases for statistical reasoning • Simulated real-world analytical workflows • Ensured dataset accuracy and consistency

Not specified

Education

Work History