Felix S.

Key Skills

Software

iMerit

Remotasks

Top Subject Matter

Image Quality Rating for Generative AI

Conversational AI Multilingual Data Annotation

General AI/ML Data Annotation (Text, Image, Audio, Video)

Top Data Types

Image

Text

Audio

Video

Top Task Types

Entity (NER) Classification

Bounding Box

Polygon

Point/Key Point

Segmentation

Classification

Object Detection

Transcription

Freelancer Overview

AI Data Specialist – Image Quality Rating & Content Labelling. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include iMerit and Remotasks. Education includes Bachelor of Arts, Presbyterian University of East Africa (2024). AI-training focus includes data types such as Image, Text, and Audio and labeling workflows including Evaluation, Rating, and Entity (NER) Classification.

Labeling Experience

AI Data Specialist – Image Quality Rating & Content Labelling

iMeritTextEntity (NER) Classification

In the Andromeda Multilingual project with iMerit, I performed entity and contact labeling on multilingual text data to train conversational AI. My work involved annotating English and Kiswahili texts for accuracy and cultural relevance. I collaborated with QA teams to enhance annotation guidelines and dataset consistency. • Labeled and annotated contacts/entities in large multilingual corpora. • Maintained high inter-annotator agreement and quality standards. • Ensured language and cultural accuracy across English and Kiswahili datasets. • Followed detailed annotation guidelines to ensure label consistency.

2024 - Present

AI Data Specialist – Image Quality Rating & Content Labelling

iMeritImage

As an Image Quality Rater for iMerit's Nidra_Image Preference WF11 project, I evaluated AI-generated images for quality, accuracy, and relevance to support model training. I assessed visual fidelity and prompt adherence using defined rubrics, providing critical feedback on image outputs. I consistently met high throughput and accuracy benchmarks across thousands of image pairs. • Rated AI-generated images to improve model performance. • Ensured prompt adherence and aesthetic quality using structured guidelines. • Identified and flagged biases, artefacts, and inconsistencies in outputs. • Maintained consistency and met strict turnaround targets.

2024 - Present

Data Annotator

RemotasksTextBounding BoxPolygon

At Remotask (Scale AI), I annotated datasets across text, image, audio, and video modalities to support AI/ML training. I worked on object detection, semantic segmentation, sentiment analysis, classification, and transcription tasks for various projects. My annotation accuracy consistently surpassed quality thresholds and inter-rater checks. • Applied bounding boxes, polygons, and point annotations to images for computer vision. • Transcribed and labeled audio data for speech and NLP models. • Adapted to evolving task guidelines and annotation toolsets across projects. • Provided rationales and feedback on complex annotation cases.

2022 - 2024

Education

Work History