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Shyanne Maree T.

AI Data Annotation Specialist, Scale AI (Remote)

USA flagErwin, Usa

Key Skills

Software

Scale AIScale AI
TelusTelus

Top Subject Matter

Computer vision (image annotation, semantic segmentation, object tracking)
NLP and search relevance evaluation (chatbots, sentiment, classification, RL response ranking)
Generative AI response evaluation and safety/quality review

Top Data Types

ImageImage
TextText
AudioAudio

Top Task Types

Object DetectionObject Detection
Red TeamingRed Teaming
TranscriptionTranscription

Freelancer Overview

AI Data Annotation Specialist, Scale AI (Remote). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Scale AI and Telus. Education includes Bachelor of Science, North Carolina State University. AI-training focus includes data types such as Image, Text, and Audio and labeling workflows including Object Detection, Evaluation, and Rating.

Labeling Experience

Scale AI

AI Data Annotation Specialist, Scale AI (Remote)

Scale AIScale AIAudioAudioTranscriptionTranscription

Labeled audio content as part of machine learning and generative AI model training datasets. Followed client guidelines to produce consistent audio annotations. Supported transcription and speech-related labeling for audio understanding tasks.• Applied structured labeling conventions for audio segments.• Labeled speech content to enable voice/speech model training.• Ensured annotation consistency via QA checks.• Met daily production targets while maintaining quality.

2023 - Present
Scale AI

AI Data Annotation Specialist, Scale AI (Remote)

Scale AIScale AITextTextRed TeamingRed Teaming

Reviewed AI-generated responses to ensure compliance with accuracy, safety, grammar, and contextual relevance requirements. Performed AI response evaluation to provide structured feedback for generative AI model training. Ensured responses met client expectations for quality and safe behavior.• Checked grammar, factual accuracy, and contextual fit of AI outputs.• Evaluated responses for safety and policy alignment.• Validated that outputs followed detailed labeling guidelines.• Performed QA reviews to maintain consistency across annotators.

2023 - Present
Scale AI

AI Data Annotation Specialist, Scale AI (Remote)

Scale AIScale AIImageImageObject DetectionObject Detection

Annotated image datasets according to client guidelines for computer vision model training. Created bounding boxes for objects and semantic segmentation labels for scene understanding. Produced object tracking annotations to support multi-frame or video-related computer vision tasks.• Followed detailed client instructions to ensure consistent annotation quality.• Applied bounding box and segmentation labeling standards for large-scale datasets.• Added tracking information to enable temporal learning for vision models.• Performed quality assurance checks to reduce labeling errors and maintain consistency.

2023 - Present
Telus

AI Data Labeler, TELUS International (Remote)

TelusTelusAudioAudioTranscriptionTranscription

Annotated speech and audio datasets for voice recognition and transcription systems. Labeled and categorized audio-related training data following NLP and search evaluation project guidelines. Produced speech annotations supporting transcription and audio understanding use cases.• Labeled speech/audio samples to support transcription accuracy.• Followed quality and relevance guidelines for dataset labeling.• Contributed to voice recognition and transcription training data.• Maintained confidentiality for sensitive audio datasets.

2020 - 2023
Telus

AI Data Labeler, TELUS International (Remote)

TelusTelusTextText

Labeled and categorized multilingual text datasets for NLP and search engine evaluation projects. Rated AI-generated chatbot and content responses for quality, relevance, and predefined guideline adherence. Performed sentiment analysis and text classification to support downstream NLP tasks.• Conducted sentiment analysis labeling for affective classification needs.• Performed text classification and search relevance rating tasks.• Evaluated chatbot/AI responses for quality and contextual relevance.• Ranked multiple AI-generated responses to support reinforcement learning workflows.

2020 - 2023

Education

N

North Carolina State University

Bachelor of Science, Data Analytics

Bachelor of Science
Not specified

Work History

B

Bank of America

Junior Data Analyst

Charlotte
2024 - Present
R

Red Ventures

Data Analyst Intern

Charlotte
2023 - 2024