Lene Ward

Key Skills

Software

Internal/Proprietary Tooling

Labelbox

Top Subject Matter

No subject matter listed

Top Data Types

Text

Audio

Image

Top Label Types

Audio Recording

Classification

Emotion Recognition

Evaluation Rating

Fine Tuning

Prompt Response Writing SFT

Question Answering

RLHF

Transcription

Freelancer Overview

I bring several years of hands-on experience in AI evaluation, data labeling, and training data quality review, working across language, speech, and multimodal domains. My expertise includes developing and refining prompts, crafting golden responses, designing robust evaluation rubrics, and performing detailed model output validation for conversational AI and large language models. I have contributed to complex workflows involving fact-checking, calibration, peer review, and structured grading to ensure high-quality, context-sensitive AI responses. Additionally, I have worked extensively on multimodal projects—such as video segmentation, scene detection, visual annotation, and audio dataset development—while leveraging my background in voice acting to enhance conversational realism in AI datasets. My skills in rubric design, data annotation, and creative writing support my passion for advancing reliable and human-like AI systems.

Labeling Experience

Audiobook Dataset Recording & Transcription Validation

LabelboxAudioEvaluation RatingAudio Recording

Recorded long-form audiobook-style narration for AI training datasets and performed transcription validation to ensure accuracy and pacing alignment. Contributed to quality review processes by identifying formatting inconsistencies and delivery deviations.

Recorded long-form audiobook-style narration for AI training datasets and performed transcription validation to ensure accuracy and pacing alignment. Contributed to quality review processes by identifying formatting inconsistencies and delivery deviations.

2025

Conversational AI & Speech Model Evaluation

Internal Proprietary ToolingAudioEmotion RecognitionEvaluation Rating

Recorded conversational and emotionally nuanced speech datasets to support dialogue modeling and tone-aware AI systems. Performed transcription validation and contextual voice labeling to ensure conversational realism. Served as a reviewer, assessing contributor audio submissions and enforcing quality and consistency standards.

Recorded conversational and emotionally nuanced speech datasets to support dialogue modeling and tone-aware AI systems. Performed transcription validation and contextual voice labeling to ensure conversational realism. Served as a reviewer, assessing contributor audio submissions and enforcing quality and consistency standards.

2025

Multimodal AI Training

Internal Proprietary ToolingImageSegmentationClassification

Performed multimodal annotation tasks involving visual data aligned with text-based outputs. Evaluated contributor annotations for cross-modal consistency and adherence to structured guidelines, supporting overall dataset quality.

Performed multimodal annotation tasks involving visual data aligned with text-based outputs. Evaluated contributor annotations for cross-modal consistency and adherence to structured guidelines, supporting overall dataset quality.

2024

Large Language Model (LLM) Training & Evaluation

Internal Proprietary ToolingTextQuestion AnsweringRLHF

Contributed to large-scale LLM training initiatives under NDA. Performed response evaluation, preference ranking (RLHF), prompt and reference response development (SFT), and factual validation tasks. Served in reviewer capacities across projects, evaluating contributor submissions and maintaining calibration-aligned quality standards.

Contributed to large-scale LLM training initiatives under NDA. Performed response evaluation, preference ranking (RLHF), prompt and reference response development (SFT), and factual validation tasks. Served in reviewer capacities across projects, evaluating contributor submissions and maintaining calibration-aligned quality standards.

2019

Education

Work History