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E
Emmanuel M.

Emmanuel M.

AI Data Specialist

Kenya flagNairobi, Kenya

Key Skills

Software

Data Annotation TechData Annotation Tech

Top Subject Matter

No subject matter listed

Top Data Types

VideoVideo
ImageImage
TextText

Top Task Types

RLHFRLHF
Bounding BoxBounding Box
SegmentationSegmentation
Entity (NER) ClassificationEntity (NER) Classification
PolylinePolyline
Object DetectionObject Detection
Text GenerationText Generation
Text SummarizationText Summarization
Fine-tuningFine-tuning

Freelancer Overview

Emmanuel Moenga Nyamwaya Virtual Assistant & AI Data Specialist n [email protected] | n (+254) 0741145732 | n Nairobi, Kenya | n linkedin.com/in/emmanuel-moenga-1513b2282 PROFESSIONAL PROFILE Results-driven Virtual Assistant and AI Data Specialist with hands-on experience in data labelling, AI training data preparation, and virtual assistance. Adept at managing complex workflows, client communications, social media, and delivering high-quality annotated datasets for machine learning pipelines. Certified by ALX Africa, with a proven track record of boosting productivity and content engagement for clients. PROFESSIONAL EXPERIENCE AI Data Labeller & Annotation Specialist Freelance / Remote 2024 – Present (cid:127) Performed data labelling and annotation for supervised machine learning datasets including image classification, object detection, NLP text tagging, and sentiment analysis. (cid:127) Annotated large volumes of text, audio, and image data to support AI model training and fine-tuning pipelines. (cid:127) Applied quality control processes to ensure annotation consistency and accuracy, maintaining >95% inter-annotator agreement. (cid:127) Used platforms such as Scale AI, Appen, and Labelbox to manage and deliver labelling tasks within deadlines. (cid:127) Contributed to RLHF (Reinforcement Learning from Human Feedback) projects by rating and ranking AI-generated responses for alignment and safety. (cid:127) Wrote and reviewed prompts for large language model (LLM)

Labeling Experience

Freelance

VideoVideoRLHFRLHF

erformed data labelling and annotation for supervised machine learning datasets including image classification, object detection, NLP text tagging, and sentiment analysis. • Annotated large volumes of text, audio, and image data to support AI model training and fine-tuning pipelines. • Applied quality control processes to ensure annotation consistency and accuracy, maintaining >95% inter-annotator agreement. • Used platforms such as Scale AI, Appen, and Labelbox to manage and deliver labelling tasks within deadlines. • Contributed to RLHF (Reinforcement Learning from Human Feedback) projects by rating and ranking AI-generated responses for alignment and safety. • Wrote and reviewed prompts for large language model (LLM) training, evaluating factual accuracy, tone, and helpfulness. • Participated in AI content moderation projects, flagging harmful or policy-violating content according to established guidelines.

2024 - 2025

Education

T

The Catholic University of Eastern Africa

BA.Counselling Psychology, Psychology

BA.Counselling Psychology
2023 - 2026

Work History

F

Freelace

Moderator

Nairobi
2022 - 2023