Lindsay K.

Key Skills

Software

Telus

Remotasks

Appen

Other

Top Subject Matter

Natural language processing (sentiment and cultural context)

multimodal LLM training data

RLHF workflows

Top Data Types

Text

Image

Audio

Top Task Types

RLHF

Freelancer Overview

Data Annotation Specialist — Telus Digital AI (multimodal annotation, QA, and RLHF participation). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Telus, Remotasks, and Appen. Education includes Bachelor of Science, The Ohio State University (2012) and High School Diploma, Cincinnati Public Schools (2008). AI-training focus includes data types such as Text, Image, and Audio and labeling workflows including RLHF, Evaluation, and Rating.

Labeling Experience

Data Annotation Specialist — Telus Digital AI (multimodal annotation, QA, and RLHF participation)

TelusTextRLHF

Annotated and quality-checked multimodal datasets (text, image, audio) to train and fine-tune LLMs for global AI clients. Maintained personal accuracy above 97% while resolving edge cases with cross-functional QA teams. Applied native English expertise to evaluate nuanced sentiment and cultural context in NLP annotation tasks. • Text annotation for sentiment, sarcasm, idioms, and cultural nuance • Multimodal labeling for text, images, and audio (LLM training data preparation) • RLHF ranking/rating of AI-generated outputs for improved alignment • Guideline refinement, disagreement reduction, and error auditing

2023 - Present

AI Research Volunteer — data labeling and quality evaluation support

OtherText

Provided data labeling and human feedback collection support for open-source and academic machine learning research projects. Assisted researchers with improving dataset diversity and reducing model bias through careful annotation and feedback on English-language tasks. Supported quality evaluation practices to contribute to more reliable research datasets. • Human feedback collection and annotation support for ML datasets • English-language task annotation to improve diversity • Bias reduction through careful labeling and feedback • Quality evaluation support for research datasets

2020 - Present

AI Data Trainer & Annotator — Remotasks (Scale AI partner)

RemotasksTextRLHF

Completed high-volume annotation tasks across NLP, computer vision, and RLHF workflows while meeting daily throughput targets. Achieved top contributor performance for accuracy, consistency, and speed across multiple concurrent projects. Mentored new annotators and escalated ambiguous instructions to project managers to maintain labeling quality. • Dialogue data annotation for NLP datasets • Image segmentation and computer-vision labeling • Audio transcription and related audio task labeling • RLHF workflow participation including ranking/rating tasks

2022 - 2023

Data Contributor & Quality Rater — Appen

AppenText

Evaluated search engine results, social media content, and AI-generated responses for relevance, accuracy, helpfulness, and safety. Applied project-specific rating guidelines across multiple task categories including web search quality, ads relevance, and conversational AI. Maintained independent multi-project execution with strong attention to detail, achieving Qualified Contributor status. • Relevance and quality rating of web search results • Safety and helpfulness evaluation of AI-generated responses • Ads relevance scoring using provided guidelines • Conversational AI response assessment against task rubrics

2021 - 2022

Education

Work History