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Christopher Nigel

Christopher Nigel

LLM Evaluation and Text Generation Specialist in English & Spanish

Mexico flagQuintana Roo, Mexico
$15.00/hrIntermediateLabelboxScale AI

Key Skills

Software

LabelboxLabelbox
Scale AIScale AI

Top Subject Matter

No subject matter listed

Top Data Types

AudioAudio
ImageImage
TextText

Top Task Types

Classification
Evaluation Rating
Prompt Response Writing SFT
Text Generation
Translation Localization

Freelancer Overview

Experienced in labeling prompts and responses for large language models (LLMs), evaluating tone, accuracy, and alignment with intent. Skilled in annotating audio for sentiment, speaker clarity, and intent detection. Also labeled and categorized hundreds of images for object recognition and visual AI training.

IntermediateEnglishSpanish

Labeling Experience

Labelbox

Audio Sentiment & Intent Labeling

LabelboxAudioClassificationQuestion Answering
Annotated hundreds of voice clips to identify sentiment (neutral, positive, negative) and classify user intent (questions, commands, feedback) for training voice AI systems in customer service applications.

Annotated hundreds of voice clips to identify sentiment (neutral, positive, negative) and classify user intent (questions, commands, feedback) for training voice AI systems in customer service applications.

2024 - 2024
Labelbox

Image Classification Labeling

LabelboxImageObject DetectionEvaluation Rating
Labeled and categorized images by identifying objects, products, or scenes to train AI models for accurate visual recognition. Ensured consistency and precision to support use cases.

Labeled and categorized images by identifying objects, products, or scenes to train AI models for accurate visual recognition. Ensured consistency and precision to support use cases.

2024 - 2024
Scale AI

Prompt Engineering + AI Output Evaluation

Scale AITextQuestion AnsweringText Summarization
Designed prompts to elicit accurate responses from generative AI, and labeled the resulting outputs for coherence, tone, factual accuracy, and relevance improving model fine-tuning and response quality.

Designed prompts to elicit accurate responses from generative AI, and labeled the resulting outputs for coherence, tone, factual accuracy, and relevance improving model fine-tuning and response quality.

2024 - 2024

Education

U

Universidad Intercontinental

College Degree, Communications

College Degree
2000 - 2004

Work History

R

Red Bull

Content Producer

Mexico City
2018 - 2020
F

FOX Sports

Sports Anchor & Scriptwriter

Mexico City
2011 - 2019