Igayi Sereka

Key Skills

Software

Clickworker

CVAT

Data Annotation Tech

HiveMind

Appen

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Image

Video

Top Label Types

Audio Recording

Bounding Box

Cuboid

Data Collection

Evaluation Rating

Freelancer Overview

I have extensive experience in data labeling and AI training, having worked across multiple projects involving video annotation, image labeling, prompt evaluation, and language translation for AI systems. At Pareto.ai, I annotated videos, created AI training prompts, and reviewed model responses to improve accuracy and cultural relevance. My role at Echolabs.ai involved transcribing and correcting video subtitles to meet AI training standards, while at Digital Divide Data, I translated English-to-Swahili datasets and labeled traffic signs for self-driving vehicle models. These experiences gave me hands-on expertise with tools such as CVAT and Labelbox, as well as exposure to diverse AI domains including natural language processing and computer vision. I bring strong attention to detail, proficiency in English, and the capacity to handle sensitive content responsibly. Alongside my programming knowledge in Python, R, and SQL, I am able to work with structured workflows, large datasets, and quality assurance processes that ensure reliable AI model training outcomes.

Labeling Experience

Data Annotator at Pareto AI

AppenVideoText Generation

I worked on a project involving short clips of Tom and Jerry, where my role was to carefully review each video and provide detailed descriptions of the content. This included not only narrating the actions of the characters but also capturing the finer details such as colors, background settings, and camera movements. I ensured that every frame was accurately documented, noting changes in scenes, transitions, and visual effects to give a complete and context-rich description. This experience sharpened my observational skills, attention to detail, and ability to translate visual media into precise, structured annotations that could be used for AI training and content analysis.

I worked on a project involving short clips of Tom and Jerry, where my role was to carefully review each video and provide detailed descriptions of the content. This included not only narrating the actions of the characters but also capturing the finer details such as colors, background settings, and camera movements. I ensured that every frame was accurately documented, noting changes in scenes, transitions, and visual effects to give a complete and context-rich description. This experience sharpened my observational skills, attention to detail, and ability to translate visual media into precise, structured annotations that could be used for AI training and content analysis.

2024 - 2024

Education

Work History