Adam Kiyogoma

Key Skills

Software

Scale AI

Telus

AWS SageMaker

OneForma

Remotasks

Top Subject Matter

Ai/nlp Domain Expertise,Python, Flutter, Django, HTML, JavaScript, C++ Virtual Assistance & AI Tools/Data Entry & Records Management

Legal Services & Contract Review

Regulatory Compliance & Risk Analysis

Top Data Types

Text

Image

Document

Top Task Types

Classification

Data Collection

Transcription

Freelancer Overview

AI Data Annotation Specialist | Scale AI / Remotasks / Appen (Remote). Brings 8+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Scale AI, Telus, and AWS SageMaker. Education includes Bachelor of Science, Muhimbili University of Health and Allied Sciences (2024) and Bachelor's Degree, University of Dar es Salaam (2016). AI-training focus includes data types such as Text and labeling workflows including Classification, Evaluation, and Rating.

Labeling Experience

AI Data Annotation Specialist | Scale AI / Remotasks / Appen (Remote)

Scale AITextClassification

As an AI Data Annotation Specialist, I performed large-scale text, image, and audio annotation tasks to support the development of machine learning and NLP models. I was responsible for ensuring accuracy and consistency across datasets through rigorous annotation and QA processes. My role required collaborating with engineers to fine-tune and enhance large language models for improved AI output. • Annotated diverse data types including text, images, and audio for AI training • Conducted linguistic quality assurance on multilingual datasets • Participated in model fine-tuning and conversational AI development • Ensured annotated data met 98% accuracy standards

As an AI Data Annotation Specialist, I performed large-scale text, image, and audio annotation tasks to support the development of machine learning and NLP models. I was responsible for ensuring accuracy and consistency across datasets through rigorous annotation and QA processes. My role required collaborating with engineers to fine-tune and enhance large language models for improved AI output. • Annotated diverse data types including text, images, and audio for AI training • Conducted linguistic quality assurance on multilingual datasets • Participated in model fine-tuning and conversational AI development • Ensured annotated data met 98% accuracy standards

2020 - Present

Linguistic QA Evaluator | Telus International AI / Uber AI (Remote)

TelusText

In my role as a Linguistic QA Evaluator, I evaluated AI-generated responses and chatbot outputs for fluency, contextual accuracy, and factual correctness. My responsibilities included quality assurance reviews of machine-translated text and detection of cultural or contextual errors. I supported the improvement of chatbot interactions by providing structured feedback for model retraining. • Performed QA on AI chatbot and machine translation outputs • Identified mistakes in grammar, fluency, and cultural localization • Led quality reviews to inform further model improvements • Ensured high-quality standards in multi-language datasets

In my role as a Linguistic QA Evaluator, I evaluated AI-generated responses and chatbot outputs for fluency, contextual accuracy, and factual correctness. My responsibilities included quality assurance reviews of machine-translated text and detection of cultural or contextual errors. I supported the improvement of chatbot interactions by providing structured feedback for model retraining. • Performed QA on AI chatbot and machine translation outputs • Identified mistakes in grammar, fluency, and cultural localization • Led quality reviews to inform further model improvements • Ensured high-quality standards in multi-language datasets

2018 - 2020

AI Training & Evaluation Contributor | Amazon SageMaker (Freelance)

Aws SagemakerTextData Collection

As an AI Training & Evaluation Contributor, I participated in supervised projects focused on data labeling and content validation for machine learning training. My work included the preparation and organization of high-quality data sets for use in AI development pipelines. I contributed feedback and validation insights to enhance model learning and accuracy. • Labeled and validated textual data for training machine learning models • Assisted in curating datasets for Amazon SageMaker • Provided evaluation inputs for continuous model improvement • Ensured adherence to project guidelines and accuracy standards

As an AI Training & Evaluation Contributor, I participated in supervised projects focused on data labeling and content validation for machine learning training. My work included the preparation and organization of high-quality data sets for use in AI development pipelines. I contributed feedback and validation insights to enhance model learning and accuracy. • Labeled and validated textual data for training machine learning models • Assisted in curating datasets for Amazon SageMaker • Provided evaluation inputs for continuous model improvement • Ensured adherence to project guidelines and accuracy standards

2016 - 2018

Education

Work History