Ilham Permana Taufik

Key Skills

Software

Appen

Other

Remotasks

iMerit

OneForma

Mindrift

Scale AI

Toloka

Telus

Internal/Proprietary Tooling

Data Annotation Tech

Lionbridge

LabelImg

Labelbox

Mercor

SuperAnnotate

Top Subject Matter

Generative AI

Llms Domain Expertise

Multilingual QA

Top Data Types

Text

Audio

Video

Top Task Types

Fine-tuning

Red Teaming

Prompt + Response Writing (SFT)

Classification

Bounding Box

Segmentation

Polygon

Object Detection

Text Generation

Text Summarization

RLHF

Transcription

Evaluation/Rating

Question Answering

Data Collection

Entity (NER) Classification

Point/Key Point

Freelancer Overview

AI Model Training, Quality Assurance & Safety Lead. Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Appen, Other, and Remotasks. Education includes Bachelor of Information Engineering, Raharja University (2021). AI-training focus includes data types such as Text and Image and labeling workflows including Fine-tuning, Red Teaming, and Prompt + Response Writing (SFT).

Labeling Experience

AI Prompt Writer

RemotasksTextPrompt Response Writing SFT

Developed, tested, and optimized high-quality prompts for large language model refinement. Systematically iterated prompt designs to enhance coherence and stylistic parameters. Employed advanced prompt engineering techniques for continuous model improvement. • Focused on structured, multilingual prompt creation. • Ensured prompt quality for supervised fine-tuning (SFT) of LLMs. • Collaborated on ongoing prompt optimization and prompt set expansion. • Enhanced AI-generated content relevance and fluency.

Developed, tested, and optimized high-quality prompts for large language model refinement. Systematically iterated prompt designs to enhance coherence and stylistic parameters. Employed advanced prompt engineering techniques for continuous model improvement. • Focused on structured, multilingual prompt creation. • Ensured prompt quality for supervised fine-tuning (SFT) of LLMs. • Collaborated on ongoing prompt optimization and prompt set expansion. • Enhanced AI-generated content relevance and fluency.

2023 - Present

AI Data Annotator and Data Labelling Specialist

AppenTextClassification

Specialized in high-volume annotation and labelling of diverse datasets including text, image, and audio for LLM development. Ensured data quality through systematic categorization, validation, and adherence to proprietary workflow protocols. Maintained exceptional productivity and accuracy on multiple proprietary annotation platforms. • Executed continuous data annotation for multilingual and multi-modal datasets. • Validated and categorized content using SRT, Multimango, and Parimango platforms. • Supported data pipelines for robust LLM and generative AI training initiatives. • Optimized workflow efficiency to maximize data throughput.

Specialized in high-volume annotation and labelling of diverse datasets including text, image, and audio for LLM development. Ensured data quality through systematic categorization, validation, and adherence to proprietary workflow protocols. Maintained exceptional productivity and accuracy on multiple proprietary annotation platforms. • Executed continuous data annotation for multilingual and multi-modal datasets. • Validated and categorized content using SRT, Multimango, and Parimango platforms. • Supported data pipelines for robust LLM and generative AI training initiatives. • Optimized workflow efficiency to maximize data throughput.

2022 - Present

AI Text Response Evaluator

TextRLHF

Evaluated and rated AI-generated text responses on the OneForma platform to improve model accuracy, helpfulness, and safety. Performed comparative analysis of multiple Large Language Model (LLM) outputs based on strict project guidelines, including factual grounding, reasoning, and linguistic fluency. Identified and flagged model hallucinations, inconsistencies, and potential biases to refine the model's performance and reliability. Contributed to RLHF (Reinforcement Learning from Human Feedback) pipelines by providing high-quality human signals for next-generation AI model training.

Evaluated and rated AI-generated text responses on the OneForma platform to improve model accuracy, helpfulness, and safety. Performed comparative analysis of multiple Large Language Model (LLM) outputs based on strict project guidelines, including factual grounding, reasoning, and linguistic fluency. Identified and flagged model hallucinations, inconsistencies, and potential biases to refine the model's performance and reliability. Contributed to RLHF (Reinforcement Learning from Human Feedback) pipelines by providing high-quality human signals for next-generation AI model training.

2023 - 2026

AI Data Annotator Specialist

VideoEntity Ner Classification

Executed high-precision Named Entity Recognition (NER) and classification for video datasets on the Atlas platform, focusing on identifying and labeling specific entities within dynamic visual frames. Applied advanced Atlas labeling techniques, including dense and coarse segmentation, to ensure comprehensive and accurate data coverage for multi-modal AI model training. Contributed to the development of high-fidelity ground-truth datasets by meticulously following complex project taxonomies and linguistic guidelines within the Atlas ecosystem. Successfully completed rigorous Atlas certification and training phases, maintaining high accuracy standards essential for computer vision and generative AI refinement.

Executed high-precision Named Entity Recognition (NER) and classification for video datasets on the Atlas platform, focusing on identifying and labeling specific entities within dynamic visual frames. Applied advanced Atlas labeling techniques, including dense and coarse segmentation, to ensure comprehensive and accurate data coverage for multi-modal AI model training. Contributed to the development of high-fidelity ground-truth datasets by meticulously following complex project taxonomies and linguistic guidelines within the Atlas ecosystem. Successfully completed rigorous Atlas certification and training phases, maintaining high accuracy standards essential for computer vision and generative AI refinement.

2024 - 2025

Artificial Intelligence Safety Specialist

OtherTextRed Teaming

Audited and critically evaluated LLM-generated outputs for safety and ethical compliance. Identified, flagged, and mitigated risks related to content moderation and bias. Delivered adversarial prompts and feedback essential for strengthening model guardrails. • Focused on maintaining rigorous safety and harmful content protocols. • Provided red-teaming expertise through prompt design and adversarial testing. • Involved in mitigation of misinformation and toxic language. • Supported continuous improvement of AI ethical standards.

Audited and critically evaluated LLM-generated outputs for safety and ethical compliance. Identified, flagged, and mitigated risks related to content moderation and bias. Delivered adversarial prompts and feedback essential for strengthening model guardrails. • Focused on maintaining rigorous safety and harmful content protocols. • Provided red-teaming expertise through prompt design and adversarial testing. • Involved in mitigation of misinformation and toxic language. • Supported continuous improvement of AI ethical standards.

2024 - 2025

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Education

Work History