Secil B.

Key Skills

Software

Appen

Telus

Internal/Proprietary Tooling

Top Subject Matter

Content Moderation & Text Classification

Speech & Audio Data Annotation

Computer Vision – Image Annotation & Labeling

Top Data Types

Text

Audio

Image

Document

Top Task Types

Entity Ner Classification

Classification

Evaluation Rating

Transcription

Freelancer Overview

AI Data Labeling & LLM Evaluation Specialist with 3+ years of hands-on experience across platforms including Outlier, Appen, TELUS International, and CrowdGen. Specialized in annotation, guideline-based evaluation, and quality assurance for AI training data. Experienced in evaluating LLM outputs for accuracy, relevance, and safety, including hallucination detection and instruction adherence. Skilled in multilingual (EN–TR) annotation and multimodal datasets (text, audio, image). Background includes PhD-level research with strong analytical and detail-oriented execution.

Labeling Experience

AI Dataset Annotation & Evaluation Specialist | Appen

AppenTextClassification

At Appen, I worked as an AI Dataset Annotation & Evaluation Specialist, focusing on guideline-based annotation of text, image, and audio datasets for machine learning pipelines. I performed data labeling tasks with high accuracy, including classification, validation, and consistency checks. I contributed to multilingual (EN–TR) and multimodal annotation workflows, ensuring annotation quality and guideline adherence at scale. My work included large-scale dataset review and quality control to maintain reliable training data.

At Appen, I worked as an AI Dataset Annotation & Evaluation Specialist, focusing on guideline-based annotation of text, image, and audio datasets for machine learning pipelines. I performed data labeling tasks with high accuracy, including classification, validation, and consistency checks. I contributed to multilingual (EN–TR) and multimodal annotation workflows, ensuring annotation quality and guideline adherence at scale. My work included large-scale dataset review and quality control to maintain reliable training data.

2022 - Present

AI Data Annotation & Labeling Specialist | Outlier

OtherTextEvaluation Rating

At Outlier, I work as an AI Data Annotation & Evaluation Specialist, focusing on evaluation of AI-generated text for model training and improvement. I assess outputs for accuracy, relevance, and guideline compliance, including hallucination detection and instruction adherence. I perform structured evaluation using rubrics, provide qualitative feedback, and support large-scale multilingual (EN–TR) annotation workflows with high consistency and quality standards.

At Outlier, I work as an AI Data Annotation & Evaluation Specialist, focusing on evaluation of AI-generated text for model training and improvement. I assess outputs for accuracy, relevance, and guideline compliance, including hallucination detection and instruction adherence. I perform structured evaluation using rubrics, provide qualitative feedback, and support large-scale multilingual (EN–TR) annotation workflows with high consistency and quality standards.

2023 - Present

Multimodal Annotation & Quality Evaluation Specialist | CrowdGen

OtherImageClassification

At CrowdGen, I worked as a Multimodal Annotation & Quality Evaluation Specialist, performing data labeling and quality control on image and multimedia datasets for AI training. I handled classification tasks, validated annotations, and ensured consistency across large-scale workflows. I identified edge cases, resolved labeling ambiguities, and maintained high annotation accuracy across multilingual (EN–TR) projects.

At CrowdGen, I worked as a Multimodal Annotation & Quality Evaluation Specialist, performing data labeling and quality control on image and multimedia datasets for AI training. I handled classification tasks, validated annotations, and ensured consistency across large-scale workflows. I identified edge cases, resolved labeling ambiguities, and maintained high annotation accuracy across multilingual (EN–TR) projects.

2022 - 2025

Data Labeling & Speech Annotation Specialist | TELUS International

TelusAudioTranscription

At TELUS International, I worked as a Data Labeling & Speech Annotation Specialist, focusing on transcription and annotation of multilingual (EN–TR) audio datasets for speech and language model training. I performed data validation, ensured strict guideline adherence, and maintained high annotation accuracy across large-scale workflows. I also contributed to quality control processes, consistency validation, and large-batch annotation tasks to support reliable AI training data.

At TELUS International, I worked as a Data Labeling & Speech Annotation Specialist, focusing on transcription and annotation of multilingual (EN–TR) audio datasets for speech and language model training. I performed data validation, ensured strict guideline adherence, and maintained high annotation accuracy across large-scale workflows. I also contributed to quality control processes, consistency validation, and large-batch annotation tasks to support reliable AI training data.

2022 - 2025

Education

Work History