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Mary Obondi

Mary Obondi

LLM Evaluation,Text Generation, text and video Annotator Specialist

KENYA flag
Nairobi, Kenya
$8.00/hrIntermediateOther

Key Skills

Software

Other

Top Subject Matter

No subject matter listed

Top Data Types

ImageImage
TextText
VideoVideo

Top Label Types

Classification
Data Collection
Emotion Recognition
Object Detection
Prompt Response Writing SFT

Freelancer Overview

An expert in Data Annotation/Data Labeling, Linguistic Annotation, AI Content Evaluation (Quality Rating), Translation & Post-Editing for AI Training, Prompt Evaluation & Prompt Engineering (Emerging), Content Creation for AI Training, Audio & Speech Tasks, and AI Safety & Compliance Tasks

IntermediateSwahiliEnglish

Labeling Experience

AI Content Evaluation (Quality Rating)

OtherVideoDiagnosis
The project entailed rating the quality of a video in terms of the audio and if the title of the video or description goes with what is in the footage. the videos were less than 10 seconds each.

The project entailed rating the quality of a video in terms of the audio and if the title of the video or description goes with what is in the footage. the videos were less than 10 seconds each.

2025 - 2025

Data Annotation / Data Labeling

OtherImageClassificationMapping
The project consisted of categorising objects on an Instagram post i.e. the username, location, landmark, clothing, and products within the photo. The data size was dependant on the number of posts one was able to label.

The project consisted of categorising objects on an Instagram post i.e. the username, location, landmark, clothing, and products within the photo. The data size was dependant on the number of posts one was able to label.

2025 - 2025

Image Annotation

OtherImageEmotion RecognitionObject Detection
The project was about emotion recognition in various images based on prompt engineering. The data was in large data sets where you evaluate a group of 3 pictures; the original picture, the picture element to add, and the outcome. The aim was to test whether the prompt and outcome was correct.

The project was about emotion recognition in various images based on prompt engineering. The data was in large data sets where you evaluate a group of 3 pictures; the original picture, the picture element to add, and the outcome. The aim was to test whether the prompt and outcome was correct.

2025 - 2025

Education

K

Kenyatta University

Bachelor of Arts, Psychology, Economics, and Mathematics

Bachelor of Arts
2015 - 2019
B

Bunyore Girls High School

Secondary Education Certificate, Secondary Education

Secondary Education Certificate
2011 - 2014

Work History

W

Wyne and Associates

Executive Assistant & Marketing Coordinator

Nairobi
2023 - Present
Y

Yram By Mary

Freelance Frontend Developer, Blogger, Content Creator

Kenya
2017 - Present