Faith N.

Key Skills

Software

Labelbox

Top Subject Matter

Large Language Models

Model Alignment

Rlhf Domain Expertise

Top Data Types

Text

Image

Audio

Top Task Types

RLHF

Segmentation

Entity (NER) Classification

Transcription

Freelancer Overview

Data Labeling Specialist (RLHF). Core strengths include N, A, and Labelbox. Education includes Bachelor of Science, University of Edinburgh. AI-training focus includes data types such as Text, Image, and Audio and labeling workflows including RLHF, Segmentation, and Entity (NER) Classification.

Labeling Experience

AI Content Annotator (Audio Transcription)

LabelboxAudioTranscription

In my role as AI Content Annotator at Ekas Cloud, I transcribed and timestamped regional audio files to support the creation of robust ASR models. This work increased model accuracy for speech recognition across a diverse range of accents and dialects. I maintained data quality through precise annotation and thorough validation processes. • Specialized in accurate audio-to-text transcription tasks. • Annotated speech data covering multiple regional accents. • Supported ASR development by providing high-quality labeled data. • Utilized leading audio transcription and annotation tools where relevant.

Not specified

AI Content Annotator (NER/PoS)

LabelboxTextEntity (NER) Classification

As an AI Content Annotator at Ekas Cloud, I executed Named Entity Recognition (NER) and part-of-speech tagging across multilingual text datasets. The goal was to boost text processing and linguistic analysis capabilities for diverse applications. I ensured strict compliance with annotation guidelines to maximize data utility for downstream models. • Managed multilingual text data for entity extraction tasks. • Enhanced NER training data for AI language systems. • Maintained high-quality standards and annotation accuracy. • Utilized a variety of industry annotation platforms effectively.

Not specified

Data Labeling Specialist (Computer Vision)

ImageSegmentation

At Certus Technology Associates, I performed semantic segmentation and key point labeling for complex image datasets to improve computer vision model accuracy, particularly for safety-critical applications. This role required precise identification and annotation of objects within varied environments, using detailed guidelines. My annotations were integral to the development of autonomous detection and safety systems. • Specialized in segmenting objects for autonomous systems. • Worked with challenging and diverse data to hone detection precision. • Drove improvements through collaborative feedback with engineering teams. • Managed high-volume annotation tasks surpassing 200 tasks daily.

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Data Labeling Specialist (RLHF)

TextRLHF

As a Data Labeling Specialist at Certus Technology Associates, I optimized large language model alignment through RLHF by evaluating and ranking LLM responses. My work required adhering to strict guidelines for helpfulness, honesty, and harmlessness to refine outputs for safety and utility. Collaborated closely with machine learning engineers to develop and iterate best-practice annotation protocols to handle edge cases. • Consistently exceeded quality and throughput benchmarks. • Contributed to enhanced model alignment and ambiguity reduction. • Assisted in refining annotation guidelines through expert feedback. • Maintained a sustained accuracy rate of above 98%.

Not specified

Education