joshua S.
Mid-Level AI Data Annotation Specialist
Open to offersNew to PlatformAbout
Joshua M. is a Nairobi-based AI-focused data specialist and IT graduate with extensive hands-on experience in areas vital to AI development, such as AI data annotation, multilingual transcription, and RLHF evaluation. He has an adept understanding of training data preparation for Large Language Models (LLMs) and evaluates AI models to enhance their relevance and safety. Joshua's professional journey includes pivotal roles at global AI platforms like Appen/CrowdGen, Toloka, and OneForma, where he contributed to optimizing machine learning systems through quality assurance, content moderation, and data quality optimization. As a Freelance AI Content Evaluator and RLHF Specialist, Joshua rigorously assessed AI-generated content to ensure accuracy and safety compliance. His educational background from the University of Nairobi includes expertise in Python, SQL, and several other technical skill sets essential to modern AI workflows.
Experience
Multilingual Transcription Specialist
Appen / CrowdGen · 2025 — 2026Executed transcription and language data assignments in Afrikaans, Malay, Danish, and Swahili. Produced high-accuracy transcriptions for AI speech recognition and NLP training datasets. Conducted linguistic quality assurance and data verification for diverse multilingual datasets while adhering to confidentiality and annotation accuracy standards.AI Data Annotator & Quality Analyst
Toloka · 2025 — 2026Annotated image, text, and conversational datasets to facilitate AI model training and evaluation. Completed classification, labeling, ranking, and moderation tasks in support of machine learning systems. Enhanced annotation consistency through thorough quality reviews and validation workflows.AI Content Evaluator & RLHF Specialist
Freelance / Independent Contractor · 2025 — PresentEvaluated AI-generated responses according to established rubric-based quality and safety standards for LLM enhancement projects. Assessed and ranked model outputs to enhance relevance, accuracy, and user assistance. Identified unsafe, biased, or incorrect outputs to reinforce AI safety compliance. Engaged with multilingual and contextual datasets to optimize AI models.AI Annotation & Data Labeling Specialist
OneForma · 2025 — PresentParticipated in AI data collection and labeling initiatives for speech, NLP, and computer vision systems. Managed tasks related to data categorization, sentiment analysis, and linguistic annotation. Coordinated remotely on large-scale AI training data projects while ensuring deadlines were met.
Skills & Expertise
Education
- Bachelor of Science in Information TechnologyUniversity of Nairobi
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