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M

Marion N.

Freelance Data Labelling Specialist – Text Classification & NLP Annotation

Kenya flagNairobi, Kenya

Key Skills

Software

RemotasksRemotasks
AppenAppen
ClickworkerClickworker
Axiom AI
Micro1

Top Subject Matter

Conversational AI
Nlp Domain Expertise
Large Language Models

Top Data Types

TextText
ImageImage
AudioAudio

Top Task Types

ClassificationClassification
Bounding BoxBounding Box
TranscriptionTranscription
RLHFRLHF

Freelancer Overview

Freelance Data Labelling Specialist – Text Classification & NLP Annotation. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Remotasks and Appen. Education includes Bachelor of Arts, University of Nairobi (2024). AI-training focus includes data types such as Text, Image, and Audio and labeling workflows including Classification, Bounding Box, and Transcription.

Labeling Experience

Remotasks

Freelance Data Labelling Specialist – RLHF & Evaluation

RemotasksRemotasksTextTextRLHFRLHF

I participated in RLHF (Reinforcement Learning from Human Feedback) by ranking and evaluating AI-generated responses. My work involved judging response quality, accuracy, and safety to optimize generative model outputs. This contributed to the refinement and safety of conversational AI systems. • Assessed AI output for relevance, correctness, and appropriateness. • Provided human feedback to improve model alignment. • Followed strict guidelines and safety protocols. • Completed multiple RLHF evaluation batches with high accuracy.

2023 - Present
Remotasks

Freelance Data Labelling Specialist – Audio Transcription

RemotasksRemotasksAudioAudioTranscriptionTranscription

I transcribed audio data as part of my data labeling responsibilities for AI and ML projects. This included verbatim transcription, speaker diarisation, and annotating audio for tone and keyword spotting. My detailed transcriptions supported the development of language and speech recognition AI models. • Accurately transcribed interviews and conversation datasets. • Applied labeling criteria including speaker and emotion tags. • Used Remotasks and Appen for audio data transcription. • Ensured data consistency and quality for model training.

2023 - Present
Remotasks

Freelance Data Labelling Specialist – Image Annotation

RemotasksRemotasksImageImageBounding BoxBounding Box

As a Freelance Data Labelling Specialist, I performed image annotation tasks including drawing bounding boxes and polygons for object detection models. I identified and marked objects within images for computer vision datasets, ensuring high precision and adherence to schema requirements. My efforts contributed to the quality training of AI systems for visual recognition tasks. • Generated bounding box and polygon annotations for thousands of images. • Employed Remotasks and Appen for image data labeling. • Focused on visual object recognition and detection domains. • Upheld inter-annotator agreement through guideline compliance.

2023 - Present
Remotasks

Freelance Data Labelling Specialist – Text Annotation

RemotasksRemotasksTextTextClassificationClassification

As a Freelance Data Labelling Specialist, I annotated and classified large volumes of text data for the development of machine learning models. I specifically worked on intent classification and sentiment analysis for conversational datasets used in training large language models. My work involved carefully following annotation guidelines and auditing peer work for accuracy. • Labeled over 50,000 data points across various NLP tasks. • Maintained a quality score above 95% throughout all projects. • Utilized Remotasks and Appen platforms for annotation. • Reviewed edge cases and supported guideline clarification.

2023 - Present

Data Entry & Transcription Volunteer – Audio Transcription

AudioAudioTranscriptionTranscription

As a Data Entry & Transcription Volunteer, I transcribed audio interviews and structured data for academic research projects. My tasks included converting spoken content into organized digital text with attention to detail. This supported the analysis and study of qualitative research data for the university. • Transcribed and structured over 300 research audio records. • Verified and corrected transcription accuracy in datasets. • Enabled efficient research data processing and analysis. • Used oTranscribe and Google Docs for transcription tasks.

2022 - 2023

Education

U

University of Nairobi

Bachelor of Arts, Business Administration

Bachelor of Arts
2020 - 2024

Work History

U

University of Nairobi

Academic Research Data Assistant

Nairobi
2022 - 2023
U

University Student Association

Data Entry & Research Assistant

Nairobi
2022 - 2023