Dalmas G.

Key Skills

Software

Appen

CloudFactory

Don't disclose

Top Subject Matter

Trust & Safety / UGC Moderation

Machine Learning Training Data Annotation

AI Model Evaluation

Top Data Types

Text

Video

Image

Document

Top Task Types

Fine-tuning

Data Collection

RLHF

Bounding Box

Polygon

Segmentation

Classification

Entity (NER) Classification

Point/Key Point

Cuboid

Polyline

Object Detection

Text Generation

Question Answering

Text Summarization

Red Teaming

Transcription

Evaluation/Rating

Computer Programming/Coding

Function Calling

Prompt + Response Writing (SFT)

Freelancer Overview

Trust & Safety / AI Data Analyst (Remote) | Appen Ltd.. Brings 7+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Appen, CloudFactory, and Don't disclose. Education includes Master of Science, University of Cape Town (2023) and Bachelor of Science, Nairobi University (2020). AI-training focus includes data types such as Text and Video and labeling workflows including Fine-tuning, Data Collection, and RLHF.

Labeling Experience

Machine Learning Consultant (Remote) | Vodacom (Contract)

Don't discloseTextRLHF

Evaluated AI/ML model outputs and reasoning for trust & safety applications, providing structured feedback to improve RLHF and supervised fine-tuning pipelines. Performed high-quality annotation on complex UGC datasets to support training data quality and model performance. Analyzed data to identify trends, anomalies, and model weaknesses, then reported insights to improve system behavior. • AI model output evaluation for trust & safety use cases • RLHF and supervised fine-tuning feedback generation • High-quality annotation on complex UGC datasets • Trend/anomaly analysis and actionable reporting

2023 - Present

Trust & Safety / AI Data Analyst (Remote) | Appen Ltd.

AppenTextFine-tuning

Moderated and analyzed user-generated content using AI-assisted tools to support machine learning model training and validation. Labeled and annotated datasets to improve downstream trust & safety and content policy enforcement accuracy. Reviewed edge cases and ambiguous content to strengthen model behavior around policy guidelines. • User-generated content moderation and labeling • Edge case review for ambiguous/flagged content • Dataset annotation for training/validation • Policy enforcement accuracy improvements

2021 - 2022

Junior Machine Learning / Data Analyst (Remote) | Cloud Factory

CloudFactoryVideoData Collection

Executed large-scale data annotation for machine learning training datasets while supporting model evaluation and validation. Conducted exploratory data analysis to identify trends, inconsistencies, and issues affecting dataset quality. Ensured data accuracy and compliance with annotation guidelines as part of ML data preparation. • Large-scale dataset annotation for ML training • Exploratory data analysis for quality/consistency • Support for model evaluation and performance tracking • Dataset preparation to support MLOps workflows

2020 - 2021

Education

Work History