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India Floyd

India Floyd

Experienced Ai data annotator skilled in image text and model evaluation

USA flagJacksonville, Usa
$20.00/hrEntry LevelAppenLabelboxScale AI

Key Skills

Software

AppenAppen
LabelboxLabelbox
Scale AIScale AI
SuperAnnotateSuperAnnotate
TolokaToloka
Other

Top Subject Matter

No subject matter listed

Top Data Types

AudioAudio
DocumentDocument
ImageImage

Top Task Types

Audio Recording
Bounding Box
Relationship
Text Generation

Freelancer Overview

I have hands on experience in AI training data through my work on Outlier's Aether project, where I contributed to image annotation, text evaluation, and multimodal content quality assessment. My background includes evaluating visual realism, identifying inconsistencies, scoring model responses, and ensuring alignment between images and text. I'm skilled at spotting subtle details, applying clear labeling guidelines, and maintaining accuracy across large volumes of data in fast paced, independent workflows. Beyond annotation, I bring strong analytical judgement, clear communication, and the ability to understand how models interpret prompts. I've worked across vision, text, and reasoning tasks, giving me a well rounded understanding of how high quality data directly impacts model performance. My adaptability, attention to detail, and experience with both structured and open ended evaluation tasks allow me to contribute effectively to complex AI training pipelines.

Entry LevelFrenchEnglishChinese Mandarin

Labeling Experience

AI reasoning, Safety, & Logic Evaluation

OtherTextClassificationRLHF
Evaluated model‑generated reasoning across complex prompts, focusing on logical coherence, factual accuracy, and safety compliance. Assessed multi‑step reasoning chains, identified hallucinations, and flagged unsafe or misleading outputs. Provided structured ratings and detailed feedback to improve model alignment, truthfulness, and reliability. This work required strong analytical judgment, attention to subtle errors, and consistent application of nuanced evaluation guidelines across diverse reasoning tasks.

Evaluated model‑generated reasoning across complex prompts, focusing on logical coherence, factual accuracy, and safety compliance. Assessed multi‑step reasoning chains, identified hallucinations, and flagged unsafe or misleading outputs. Provided structured ratings and detailed feedback to improve model alignment, truthfulness, and reliability. This work required strong analytical judgment, attention to subtle errors, and consistent application of nuanced evaluation guidelines across diverse reasoning tasks.

2025

LLM Response Evaluation & Text Classification

OtherTextEntity Ner ClassificationClassification
Reviewed and scored model‑generated text for correctness, clarity, safety, and reasoning quality. Labeled sentiment, intent, entities, and topics across varied datasets. Identified hallucinations, logical gaps, and safety concerns while providing structured feedback to improve model alignment. Contributed to both structured classification tasks and open‑ended evaluation formats, strengthening model reliability and reasoning depth.

Reviewed and scored model‑generated text for correctness, clarity, safety, and reasoning quality. Labeled sentiment, intent, entities, and topics across varied datasets. Identified hallucinations, logical gaps, and safety concerns while providing structured feedback to improve model alignment. Contributed to both structured classification tasks and open‑ended evaluation formats, strengthening model reliability and reasoning depth.

2025

Image Annotation & Visual Quality Evaluation

OtherImageSegmentationRelationship
Evaluated large batches of AI generated images for realism, accuracy, and adherence to text prompts. Labeled visual content across diverse categories, identified artifacts and distortions, and ensured consistent application of detailed guidelines. Work included fine grained classification, object identification, and quality scoring to support the training of more reliable and visually aligned AI models.

Evaluated large batches of AI generated images for realism, accuracy, and adherence to text prompts. Labeled visual content across diverse categories, identified artifacts and distortions, and ensured consistent application of detailed guidelines. Work included fine grained classification, object identification, and quality scoring to support the training of more reliable and visually aligned AI models.

2025

Education

T

Turner County High School

High School Diploma, General Education

High School Diploma
Not specified

Work History

O

Outlier AI

Ai data anyalyst

Jacksonville
2025 - Present
F

Freelance

Customer Support Specialist

Jacksonville
2022 - Present