Christian Camilo Mendez Pulido

Key Skills

Software

iMerit

Other

Labelbox

Appen

OneForma

Scale AI

Clickworker

Top Subject Matter

No subject matter listed

Top Data Types

Image

Audio

Video

Text

Top Task Types

Evaluation Rating

Bounding Box

Entity Ner Classification

RLHF

Transcription

Function Calling

Audio Recording

Translation Localization

Segmentation

Fine Tuning

Prompt Response Writing SFT

Classification

Question Answering

Freelancer Overview

I have a strong background in systems and computer engineering with hands-on experience in 3D modeling, animation, and game development, where precise data labeling and annotation are essential for creating realistic characters, environments, and AI behaviors. My work in Unity and Blender has involved generating and integrating detailed assets, managing large datasets, and ensuring high-quality data consistency for animation, character rigging, and procedural content generation. I am skilled in Python, C#, and Java, and have developed AI-driven gameplay systems that required careful annotation of actions, states, and environmental triggers. My experience collaborating in multidisciplinary teams and optimizing pipelines for interactive experiences has given me a keen eye for detail, data accuracy, and the importance of high-quality training data in computer vision and simulation projects. I am passionate about leveraging my technical and creative skills to contribute to AI training data initiatives that demand precision and reliability.

Labeling Experience

LLM & Language Evaluation

OneformaTextTranslation LocalizationRLHF

As an Independent Contractor at Oneforma, I evaluated AI-generated text and translations for quality, relevance, and linguistic accuracy. I completed transcription tasks and assessed cultural appropriateness and fluency of prompts and outputs. I provided feedback to improve multilingual AI models and language systems. • Performed generalist LLM annotation for correctness and instruction following. • Checked and reviewed prompt translations and semantically complex content. • Evaluated regional and cultural suitability of AI content. • Supported feedback loops for multilingual LLM training.

As an Independent Contractor at Oneforma, I evaluated AI-generated text and translations for quality, relevance, and linguistic accuracy. I completed transcription tasks and assessed cultural appropriateness and fluency of prompts and outputs. I provided feedback to improve multilingual AI models and language systems. • Performed generalist LLM annotation for correctness and instruction following. • Checked and reviewed prompt translations and semantically complex content. • Evaluated regional and cultural suitability of AI content. • Supported feedback loops for multilingual LLM training.

2025

Audio and Video Quality Evaluation, Translation Assessment

AppenVideoTranslation LocalizationEvaluation Rating

At Appen, I evaluated audio and video quality and assessed machine-translated audio samples for naturalness, prosody, and translation accuracy. I reviewed video samples for lip-sync, facial expression, and artifact detection. My work ensured AI-generated content met technical and linguistic quality standards. • Compared and rated audio samples for fidelity, intelligibility, and translation. • Evaluated visual realism in lip-sync and face movement in video data. • Identified and reported issues in AI-generated media outputs. • Supported quality assurance for multilingual AI training systems.

At Appen, I evaluated audio and video quality and assessed machine-translated audio samples for naturalness, prosody, and translation accuracy. I reviewed video samples for lip-sync, facial expression, and artifact detection. My work ensured AI-generated content met technical and linguistic quality standards. • Compared and rated audio samples for fidelity, intelligibility, and translation. • Evaluated visual realism in lip-sync and face movement in video data. • Identified and reported issues in AI-generated media outputs. • Supported quality assurance for multilingual AI training systems.

2025

Audio and Conversational Annotation

LabelboxAudioFunction CallingAudio Recording

For Alignerr, I worked on audio and video datasets, transcribing conversational data and annotating audio and conversations for agent function triggers. I evaluated and rated conversation quality and effectiveness of agent responses. My feedback supported the training of conversational AI and agent-based systems. • Transcribed and labeled audio for clarity and interaction accuracy. • Annotated agent function triggers and conversational flows. • Rated agent responses and conversational coherence. • Provided structured evaluation for model fine-tuning.

For Alignerr, I worked on audio and video datasets, transcribing conversational data and annotating audio and conversations for agent function triggers. I evaluated and rated conversation quality and effectiveness of agent responses. My feedback supported the training of conversational AI and agent-based systems. • Transcribed and labeled audio for clarity and interaction accuracy. • Annotated agent function triggers and conversational flows. • Rated agent responses and conversational coherence. • Provided structured evaluation for model fine-tuning.

2025

Data Annotation & AI Evaluation

OtherImageBounding BoxEntity Ner Classification

At RWS, I performed multi-modal image and video annotation and evaluation tasks for computer vision projects. I labeled entities and applied bounding boxes, checked dataset consistency, and validated spot-the-difference tasks. I also performed side-by-side comparisons and structured feedback for model improvement. • Labeled objects and people in images and videos, including bounding box annotation. • Checked and validated annotation quality through consistency checks. • Evaluated dataset accuracy via spot-the-difference and response rating tasks. • Supported human-in-the-loop training for computer vision models.

At RWS, I performed multi-modal image and video annotation and evaluation tasks for computer vision projects. I labeled entities and applied bounding boxes, checked dataset consistency, and validated spot-the-difference tasks. I also performed side-by-side comparisons and structured feedback for model improvement. • Labeled objects and people in images and videos, including bounding box annotation. • Checked and validated annotation quality through consistency checks. • Evaluated dataset accuracy via spot-the-difference and response rating tasks. • Supported human-in-the-loop training for computer vision models.

2025

Image Annotation and Evaluation

ImeritImageEvaluation Rating

As an Independent Contractor at iMerit, I evaluated AI-generated images for compliance with instructions and visual quality. I performed side-by-side comparisons, identified artifacts, and rated outputs for various artistic and technical metrics. My structured evaluations supported human-in-the-loop training for computer vision and generative AI models. • Conducted visual accuracy assessments and artifact identification across large datasets. • Rated outputs on quality, coherence, and compliance with style guidelines. • Ensured consistency with reference images and visual intent. • Provided detailed feedback supporting model improvement cycles.

As an Independent Contractor at iMerit, I evaluated AI-generated images for compliance with instructions and visual quality. I performed side-by-side comparisons, identified artifacts, and rated outputs for various artistic and technical metrics. My structured evaluations supported human-in-the-loop training for computer vision and generative AI models. • Conducted visual accuracy assessments and artifact identification across large datasets. • Rated outputs on quality, coherence, and compliance with style guidelines. • Ensured consistency with reference images and visual intent. • Provided detailed feedback supporting model improvement cycles.

2025

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Education

Work History