Daniel K.

Key Skills

Software

Scale AI

Appen

Telus

Top Subject Matter

Large language model (LLM) training and multilingual transcription/conversational AI evaluation

NLP data annotation for sentiment analysis

speech recognition

Top Data Types

Text

Audio

Document

Top Task Types

Transcription

Freelancer Overview

AI Data Trainer — Scale AI. Brings 8+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Scale AI, Appen, and Telus. Education includes Bachelor of Science, University of Illinois Chicago (UIC) (2019). AI-training focus includes data types such as Text and Audio and labeling workflows including Evaluation, Rating, and Transcription.

Labeling Experience

AI Data Trainer — Scale AI

Scale AIText

Reviewed and labeled AI-generated text responses to support training of large language models. Conducted quality assurance checks to ensure annotation consistency and high task accuracy. Assisted with evaluation of multilingual transcription datasets and conversational AI outputs. • Labeled AI responses for LLM training workflows • Performed QA accuracy reviews (98% task accuracy) • Collaborated remotely with AI researchers and project managers • Supported multilingual dataset evaluation and conversational output assessment

2023 - Present

Machine Learning Data Annotator — Appen

AppenAudioTranscription

Annotated speech and text datasets for natural language processing systems used in tasks such as sentiment analysis, speech recognition, and chatbot evaluation. Followed AI data compliance and confidentiality requirements during all annotation activities. Improved workflow tracking processes to increase annotation turnaround time. • Annotated speech and text data for NLP systems • Supported projects for sentiment analysis, speech recognition, and chatbot evaluation • Followed confidentiality and AI data compliance procedures • Optimized workflow tracking to improve turnaround time

2021 - 2023

Digital Transcription Assistant — TELUS International AI

TelusAudioTranscription

Transcribed and reviewed audio recordings to support AI voice recognition training and model testing. Performed language verification and translation quality assessment as part of dataset preparation. Prepared structured datasets used for AI model testing and training activities. • Transcribed and reviewed audio for voice recognition training • Conducted language verification and translation quality assessments • Built structured datasets for model testing and training • Supported transcription review workflows for AI system development

2019 - 2020

Education

Work History