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Mochamad Teguh Subarkah

Mochamad Teguh Subarkah

AI Trainer & Data Labeling Professional in NLP, CV, and Coding (2+ Yrs)

Indonesia flagSerang, Indonesia
$20.00/hrIntermediateData Annotation TechRemotasksScale AI

Key Skills

Software

Data Annotation TechData Annotation Tech
RemotasksRemotasks
Scale AIScale AI
Other

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code ProgrammingComputer Code Programming
DocumentDocument
TextText

Top Task Types

Action Recognition
Bounding Box
Classification
Computer Programming Coding
Data Collection

Freelancer Overview

I have over 2 years of experience as an AI Trainer, working across more than three platforms with global teams. My expertise spans diverse areas including general conversation AI, coding-focused tasks, action recognition, bounding box annotation, hallucination labeling, and computer use tasks such as information retrieval, validation, and summarization. I also contributed to projects involving web applications with HTML, CSS, and JavaScript, as well as folder project structuring. This variety of projects has given me strong versatility in data labeling and AI training. One of my key achievements was being selected as one of only five top performers to initiate a new pilot project at an AI company, which later grew into a full-scale program. I have also been recognized multiple times as “AI Trainer of the Month,” reflecting both the quality of my contributions and my consistency in performance.

IntermediateArabicEnglishIndonesian

Labeling Experience

Scale AI

AI Trainer

Scale AITextText GenerationText Summarization
I worked on multiple AI training projects with a strong focus on response comparison, agent function calling, and evaluating outputs across different tasks. My contributions included coding-related evaluations, text summarization, and mathematical problem-solving. I was responsible for comparing and rating AI-generated responses to ensure accuracy, relevance, and quality, while also contributing to improving model performance in diverse domains.

I worked on multiple AI training projects with a strong focus on response comparison, agent function calling, and evaluating outputs across different tasks. My contributions included coding-related evaluations, text summarization, and mathematical problem-solving. I was responsible for comparing and rating AI-generated responses to ensure accuracy, relevance, and quality, while also contributing to improving model performance in diverse domains.

2024 - 2025

AI Trainer

OtherTextText GenerationRLHF
Response Comparison & Conversation Evaluation In this project, I assisted in improving LLM performance by evaluating and comparing multiple AI-generated responses for a given prompt, assigning ratings based on accuracy, clarity, and relevance. The focus areas included programming (Python, Java, C, JavaScript), math, and physics. Additionally, I contributed to creating user-AI conversations and assessing different response options to identify the most appropriate and high-quality answer. Conversation Trajectory Creation & Comparison In this project, I created conversation trajectories where users requested the AI to complete computer-based tasks. I simulated these trajectories by inputting prompts and evaluated the model’s performance using defined metrics. The work involved application development scenarios across multiple programming languages (Python, Java, C, JavaScript, HTML, CSS), as well as math and physics. Additionally, I compared the AI’s actions throughout each trajectory, a

Response Comparison & Conversation Evaluation In this project, I assisted in improving LLM performance by evaluating and comparing multiple AI-generated responses for a given prompt, assigning ratings based on accuracy, clarity, and relevance. The focus areas included programming (Python, Java, C, JavaScript), math, and physics. Additionally, I contributed to creating user-AI conversations and assessing different response options to identify the most appropriate and high-quality answer. Conversation Trajectory Creation & Comparison In this project, I created conversation trajectories where users requested the AI to complete computer-based tasks. I simulated these trajectories by inputting prompts and evaluated the model’s performance using defined metrics. The work involved application development scenarios across multiple programming languages (Python, Java, C, JavaScript, HTML, CSS), as well as math and physics. Additionally, I compared the AI’s actions throughout each trajectory, a

2023 - 2024

Education

I

Institut Teknologi Bandung

Master of Science, Electrical Engineering

Master of Science
2018 - 2019
I

Institut Teknologi Bandung

Bachelor of Science, Electrical Engineering

Bachelor of Science
2014 - 2018

Work History

L

Lagadi

Full Stack Developer

Jakara
2024 - Present
T

Turing.com

AI Trainer

Remote
2023 - 2024