Godfrey Wainaina

Key Skills

Software

Other

Labelbox

iMerit

Top Subject Matter

Generative AI Evaluation

LLM & Computer Vision Training

AI & Ethics Research

Top Data Types

Image

Text

Document

Top Task Types

Classification

Fine Tuning

Object Detection

Freelancer Overview

Multimodal AI Evaluation Analyst. Core strengths include Labelbox, Other, and iMerit. Education includes Bachelor of Science, Jomo Kenyatta University of Agriculture & Technology (2025). AI-training focus includes data types such as Text and Image and labeling workflows including Evaluation, Rating, and Fine-tuning.

Labeling Experience

AI Image Recognition Contributor – AIDRALabs

OtherImageClassificationObject Detection

Labeled thousands of everyday object images as part of a certified AI data contribution program. Helped enhance the identification accuracy of object recognition models. Completed annotation assignments in accordance with best practices for image classification projects. • Managed large volumes of image annotation for training AI models. • Focused on objects like furniture, animals, and vehicles. • Implemented quality assurance to maintain data accuracy. • Applied techniques learned in certification program to improve model results.

Labeled thousands of everyday object images as part of a certified AI data contribution program. Helped enhance the identification accuracy of object recognition models. Completed annotation assignments in accordance with best practices for image classification projects. • Managed large volumes of image annotation for training AI models. • Focused on objects like furniture, animals, and vehicles. • Implemented quality assurance to maintain data accuracy. • Applied techniques learned in certification program to improve model results.

2026 - Present

Multimodal AI Evaluation Analyst

LabelboxText

As a Multimodal AI Evaluation Analyst, I reviewed and assessed AI-generated text, image, video, and multimodal prompts for a research lab. I applied rubrics to evaluate correctness and coherence of outputs, documenting hallucinations and biases where detected. My work contributed to raising annotation consistency and evaluation quality. • Evaluated over 3,500 AI outputs on multiple modalities. • Maintained a 97% adherence rate to standards. • Helped refine guidelines with Quality Leads. • Focused on bias detection and correction.

As a Multimodal AI Evaluation Analyst, I reviewed and assessed AI-generated text, image, video, and multimodal prompts for a research lab. I applied rubrics to evaluate correctness and coherence of outputs, documenting hallucinations and biases where detected. My work contributed to raising annotation consistency and evaluation quality. • Evaluated over 3,500 AI outputs on multiple modalities. • Maintained a 97% adherence rate to standards. • Helped refine guidelines with Quality Leads. • Focused on bias detection and correction.

2024 - Present

AI Safety Evaluation Pilot

ImeritText

For a short-term contract with iMerit Scholars, I evaluated AI responses to multimodal prompts during a 12-hour pilot project. I provided nuanced feedback focusing on logical consistency and ethical alignment. My efforts achieved high-quality scores and alignment with lead evaluators. • Reviewed 500+ AI outputs in a time-limited setting. • Performed in-depth analysis for quality calibration. • Focused on logical and ethical response factors. • Contributed to project assessment rubrics.

For a short-term contract with iMerit Scholars, I evaluated AI responses to multimodal prompts during a 12-hour pilot project. I provided nuanced feedback focusing on logical consistency and ethical alignment. My efforts achieved high-quality scores and alignment with lead evaluators. • Reviewed 500+ AI outputs in a time-limited setting. • Performed in-depth analysis for quality calibration. • Focused on logical and ethical response factors. • Contributed to project assessment rubrics.

2025 - 2025

Freelance Data Annotation Contributor

LabelboxImageClassificationFine Tuning

Participated in image labeling and categorization tasks for remote AI projects. Focused on identifying and classifying everyday objects in images following detailed guidelines. Supported the creation of datasets for training AI recognition models. • Ensured high accuracy and completion rates in annotation work. • Labeled images spanning a variety of common items, such as furniture, vehicles, and animals. • Adhered strictly to AI project requirements and quality standards. • Contributed to datasets used for computer vision model development.

Participated in image labeling and categorization tasks for remote AI projects. Focused on identifying and classifying everyday objects in images following detailed guidelines. Supported the creation of datasets for training AI recognition models. • Ensured high accuracy and completion rates in annotation work. • Labeled images spanning a variety of common items, such as furniture, vehicles, and animals. • Adhered strictly to AI project requirements and quality standards. • Contributed to datasets used for computer vision model development.

2023 - 2023

Education

Work History