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Juan Naranjo

Juan Naranjo

Freelance Application Developer and Support Analyst in Contract Review, Compliance, and Legal Research

Colombia flagMedellín, Colombia
$15.00/hrExpertRemotasksOther

Key Skills

Software

RemotasksRemotasks
Other

Top Subject Matter

Legal Services & Contract Review
Regulatory Compliance & Risk Analysis
Legal Research & Document Analysis

Top Data Types

Computer Code ProgrammingComputer Code Programming
TextText
DocumentDocument

Top Task Types

SegmentationSegmentation
Entity (NER) ClassificationEntity (NER) Classification
Point/Key PointPoint/Key Point
Object DetectionObject Detection
TranscriptionTranscription
ClassificationClassification
Question AnsweringQuestion Answering
Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)
Data CollectionData Collection
Bounding BoxBounding Box
PolygonPolygon
CuboidCuboid

Freelancer Overview

I worked in AI training data at Remotasks from 2020 to 2024, where I participated in multiple annotation projects focused on image segmentation and 3D LiDAR segmentation. My work involved accurately labeling objects, handling complex scenes, and following detailed guidelines to ensure high-quality outputs. I developed strong attention to detail and consistency while working with large datasets and reviewing edge cases. I am currently working at Outlier, where I continue to perform data labeling tasks including classification, object detection, text annotation, audio transcription, keypoint annotation, tracking, and ranking/comparison, maintaining high accuracy and adapting to different project requirements.

ExpertEnglishSpanish

Labeling Experience

Image Prompt Engineering and Reconstruction

ImagePrompt Response Writing SFT
Generated modified versions of reference images using structured prompts, introducing controlled visual changes while preserving context. Then designed prompts to reconstruct the original image as accurately as possible. Focused on prompt clarity, detail control, and consistency between outputs. Evaluated how different prompt formulations affected image generation quality and fidelity, contributing to the improvement of text-to-image model performance.

Generated modified versions of reference images using structured prompts, introducing controlled visual changes while preserving context. Then designed prompts to reconstruct the original image as accurately as possible. Focused on prompt clarity, detail control, and consistency between outputs. Evaluated how different prompt formulations affected image generation quality and fidelity, contributing to the improvement of text-to-image model performance.

2026 - Present

Audio Transcription and Paralinguistic Annotation

AudioTranscription
Transcribed audio data with high accuracy, including spoken content and non-verbal elements. Annotated paralinguistic features such as pauses, fillers, and expressions using structured labels (e.g., <pause>, [eh], <laugh>). Ensured consistency in formatting and labeling guidelines while capturing tone, intent, and speech patterns. Contributed to improving speech recognition and natural language understanding models by providing detailed and context-aware annotations.

Transcribed audio data with high accuracy, including spoken content and non-verbal elements. Annotated paralinguistic features such as pauses, fillers, and expressions using structured labels (e.g., <pause>, [eh], <laugh>). Ensured consistency in formatting and labeling guidelines while capturing tone, intent, and speech patterns. Contributed to improving speech recognition and natural language understanding models by providing detailed and context-aware annotations.

2026 - Present

Video Recreation Quality Evaluation

VideoEvaluation Rating
Evaluated pairs of AI-generated videos designed to replicate an original reference video. Compared both outputs based on visual accuracy, motion consistency, scene composition, and overall fidelity to the source. Selected the better recreation and provided detailed justification for each decision, focusing on quality, realism, and adherence to the original content. Ensured consistency and accuracy across evaluations following project guidelines.

Evaluated pairs of AI-generated videos designed to replicate an original reference video. Compared both outputs based on visual accuracy, motion consistency, scene composition, and overall fidelity to the source. Selected the better recreation and provided detailed justification for each decision, focusing on quality, realism, and adherence to the original content. Ensured consistency and accuracy across evaluations following project guidelines.

2026 - Present

3D LiDAR Segmentation for Autonomous Driving

3D SensorSegmentation
Worked on large-scale 3D LiDAR segmentation projects for autonomous driving systems. Responsibilities included annotating point cloud data with high precision, segmenting objects such as vehicles, pedestrians, cyclists, and road infrastructure. Followed strict annotation guidelines and handled complex scenarios and edge cases to ensure data consistency and accuracy. Contributed to maintaining high-quality standards through self-review and adherence to QA feedback, working efficiently across high-volume datasets.

Worked on large-scale 3D LiDAR segmentation projects for autonomous driving systems. Responsibilities included annotating point cloud data with high precision, segmenting objects such as vehicles, pedestrians, cyclists, and road infrastructure. Followed strict annotation guidelines and handled complex scenarios and edge cases to ensure data consistency and accuracy. Contributed to maintaining high-quality standards through self-review and adherence to QA feedback, working efficiently across high-volume datasets.

2020 - 2024

Education

C

Coursera

Certificate, Data and Cybersecurity

Certificate
2025 - 2026
A

Academlo

Certificate, Full-Stack Web Development and Computer Science

Certificate
2024 - 2025

Work History

K

Kodland

Programming Instructor

Medellín
2025 - Present
O

Optics Retail Store

Freelance Application Developer and Support Analyst

Medellín
2024 - 2025