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Samuel Talam

Google AI Training – AI Trainer and Annotator (Coursera Certificate)

Kenya flagNairobi, Kenya
Entry Level

Key Skills

Software

No software listed

Top Subject Matter

General AI applications and prompt engineering

Top Data Types

TextText
Computer Code ProgrammingComputer Code Programming

Top Task Types

Text GenerationText Generation

Freelancer Overview

Google AI Training – AI Trainer and Annotator (Coursera Certificate). Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Certificate, The Odin Project (2025) and Bachelor of Arts, Kenyatta University (2018). AI-training focus includes data types such as Text and labeling workflows including Text Generation.

Entry Level

Labeling Experience

Google AI Training – AI Trainer and Annotator (Coursera Certificate)

TextText Generation
Completed the Google AI training certificate on Coursera, focusing on AI model development and optimization through data annotation best practices. Learned to annotate and train AI models on structured textual datasets for diverse application use-cases. Gained hands-on experience in prompt design, evaluation, and supervised fine-tuning strategies. • Applied Retrieval-Augmented Generation (RAG) workflows in AI training exercises. • Developed and tested prompt + response pairs for supervised fine-tuning (SFT). • Practiced labelling and correction for model output quality evaluation. • Utilized internal and proprietary tooling for annotation and generation tasks.

Completed the Google AI training certificate on Coursera, focusing on AI model development and optimization through data annotation best practices. Learned to annotate and train AI models on structured textual datasets for diverse application use-cases. Gained hands-on experience in prompt design, evaluation, and supervised fine-tuning strategies. • Applied Retrieval-Augmented Generation (RAG) workflows in AI training exercises. • Developed and tested prompt + response pairs for supervised fine-tuning (SFT). • Practiced labelling and correction for model output quality evaluation. • Utilized internal and proprietary tooling for annotation and generation tasks.

2025 - 2025

Education

K

Kenyatta University

Bachelor of Arts, Film and Communication

Bachelor of Arts
2013 - 2018
T

The Odin Project

Certificate, Full-Stack Web Development

Certificate
2025

Work History

A

Amazing Minds Africa

Lead Developer & Founder

Nairobi
2020 - Present
X

Xplora Outdoor Limited

Technical Project Lead

Nairobi
2024 - 2025