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Leonardo Putra

Leonardo Putra

Freelance AI Trainer (Image Labeling)

INDONESIA flag
Tangerang, Indonesia
$10.00/hrEntry LevelScale AIOtherInternal Proprietary Tooling

Key Skills

Software

Scale AIScale AI
Other
Internal/Proprietary Tooling

Top Subject Matter

AI Recognition Systems
Natural Language Processing (NLP) and LLM Evaluation
Academic Research

Top Data Types

ImageImage
TextText
AudioAudio

Top Task Types

Bounding Box
Transcription
Classification
Object Detection
Evaluation Rating
RLHF

Freelancer Overview

Freelance AI Content Evaluator (Image Labeling). Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Scale AI and Other. Education includes Bachelor of Management, Universitas Prasetiya Mulya (2025) and High School Diploma, SMAK 6 PENABUR (2021). AI-training focus includes data types such as Image, Text, and Audio and labeling workflows including Bounding Box, Evaluation, and Rating.

Entry LevelEnglishIndonesian

Labeling Experience

Scale AI

Freelance AI Content Evaluator (Text Evaluation)

Scale AIText
As a Freelance AI Content Evaluator, I categorized text and evaluated AI-generated answers against rubric criteria. Tasks included tagging sentences by meaning and determining which of two AI responses was more appropriate and understandable. Rigorous quality assurance and structured feedback ensured high-quality labeled datasets for NLP model development. • Classified sentences and text data for semantic understanding tasks. • Compared AI-generated responses, rating answer quality for prompt alignment. • Conducted structured data cleaning to remove irrelevant or erroneous entries. • Worked remotely using the Scale AI labeling platform.

As a Freelance AI Content Evaluator, I categorized text and evaluated AI-generated answers against rubric criteria. Tasks included tagging sentences by meaning and determining which of two AI responses was more appropriate and understandable. Rigorous quality assurance and structured feedback ensured high-quality labeled datasets for NLP model development. • Classified sentences and text data for semantic understanding tasks. • Compared AI-generated responses, rating answer quality for prompt alignment. • Conducted structured data cleaning to remove irrelevant or erroneous entries. • Worked remotely using the Scale AI labeling platform.

2026 - Present
Scale AI

Freelance AI Content Evaluator (Image Labeling)

Scale AIImageBounding Box
As a Freelance AI Content Evaluator at Outlier AI, I performed image labeling using bounding boxes and object detection for AI model training. My responsibilities included drawing precise bounding boxes around objects in images and ensuring labels followed detailed guidelines. This work contributed directly to the improvement of AI recognition systems for real-world applications. • Drew accurate bounding boxes around objects in images to train AI recognition algorithms. • Categorized and compared text data for prompt alignment and answer selection. • Utilized digital platforms for data cleaning, error correction, and duplicate removal. • Adapted reliably to complex instructions and dynamic task requirements.

As a Freelance AI Content Evaluator at Outlier AI, I performed image labeling using bounding boxes and object detection for AI model training. My responsibilities included drawing precise bounding boxes around objects in images and ensuring labels followed detailed guidelines. This work contributed directly to the improvement of AI recognition systems for real-world applications. • Drew accurate bounding boxes around objects in images to train AI recognition algorithms. • Categorized and compared text data for prompt alignment and answer selection. • Utilized digital platforms for data cleaning, error correction, and duplicate removal. • Adapted reliably to complex instructions and dynamic task requirements.

2026 - Present

Research Assistant (Text Classification)

OtherTextClassification
As a Research Assistant, I labeled and categorized large volumes of qualitative text data by synthesizing over 30 research parameters. Precise text classification ensured that complex information was organized according to strict research and data integrity guidelines. These efforts facilitated robust analysis and reliable research outcomes in the academic domain. • Labeled thousands of qualitative data points through semantic categorization. • Applied multi-parameter classification across complex datasets. • Ensured adherence to rigorous data integrity and documentation standards. • Supported academic research objectives through meticulous data labeling.

As a Research Assistant, I labeled and categorized large volumes of qualitative text data by synthesizing over 30 research parameters. Precise text classification ensured that complex information was organized according to strict research and data integrity guidelines. These efforts facilitated robust analysis and reliable research outcomes in the academic domain. • Labeled thousands of qualitative data points through semantic categorization. • Applied multi-parameter classification across complex datasets. • Ensured adherence to rigorous data integrity and documentation standards. • Supported academic research objectives through meticulous data labeling.

2024 - 2025

Research Assistant (Audio Transcription & Data Cleaning)

OtherAudioTranscription
As a Research Assistant, I processed and cleaned hours of audio data using AI transcription tools for research analysis. Work involved meticulous manual error correction of transcriptions to ensure accuracy and usability of the data. The finalized transcripts supported subsequent qualitative and quantitative research efforts within the team. • Managed and transcribed more than 8 hours of research audio footage. • Verified AI-generated transcripts manually to correct inaccuracies and errors. • Cleaned, structured, and formatted audio data for further analysis. • Collaborated as part of a research team to ensure data quality and integrity.

As a Research Assistant, I processed and cleaned hours of audio data using AI transcription tools for research analysis. Work involved meticulous manual error correction of transcriptions to ensure accuracy and usability of the data. The finalized transcripts supported subsequent qualitative and quantitative research efforts within the team. • Managed and transcribed more than 8 hours of research audio footage. • Verified AI-generated transcripts manually to correct inaccuracies and errors. • Cleaned, structured, and formatted audio data for further analysis. • Collaborated as part of a research team to ensure data quality and integrity.

2024 - 2025

Education

U

Universitas Prasetiya Mulya

Bachelor of Management, Business Management

Bachelor of Management
2021 - 2025
S

SMAK 6 PENABUR

High School Diploma, Natural Sciences

High School Diploma
2018 - 2021

Work History

P

Prasetiya Mulya University

Research Assistant

Tangerang
2024 - Present
O

Oseng Sambal Jawara

Project Leader

Tangerang
2024 - 2025