Raphael O.

Key Skills

Software

iMerit

Toloka

Don't disclose

Top Subject Matter

Autonomous machine learning

Computer Vision

3D LIDAR point clouds

Top Data Types

3D Sensor

Text

Image

Document

Top Task Types

Segmentation

RLHF

Fine-tuning

Freelancer Overview

Senior Data Annotator (LIDAR & Computer Vision) at iMerit (Remote). Brings 4+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include iMerit, Toloka, and Don't disclose. Education includes Bachelor of Science, University of Nairobi (2027) and Certificate, ALX Africa (2026). AI-training focus includes data types such as 3D Sensor, Text, and Computer Code and labeling workflows including Segmentation, RLHF, and Translation.

Labeling Experience

Multilingual Content Analyst at Phonex Technologies (Luo/Swahili)

Don't discloseText

Scripts and reviewed text content in native Luo and Swahili with an emphasis on cultural accuracy and natural output. Identified inaccuracies in AI-generated outputs and supplied clear, concise technical feedback for improved model alignment. Focused on quality control for multilingual content suitable for AI training and evaluation contexts. • Luo and Swahili script writing and review • Cultural accuracy and localization checks • Error spotting in AI output • Technical feedback for improved alignment

2024 - Present

Senior Data Annotator (LIDAR & Computer Vision) at iMerit (Remote)

iMerit3D SensorSegmentation

Performed high-precision LIDAR 3D point cloud segmentation and object detection to support autonomous ML model training. Created reliable, error-free training data to improve Computer Vision performance and model precision. Supported dataset generation for downstream training workflows and quality validation across CV tasks. • LIDAR 3D point cloud segmentation • Object detection dataset curation • Quality assurance for error-free annotations • Training dataset reliability checks

2024 - Present

RLHF & LLM Evaluation Specialist at Toloka AI (Remote)

TolokaTextRLHF

Conducted Reinforcement Learning from Human Feedback (RLHF) to refine Large Language Model reasoning and conversational accuracy. Reviewed and ranked AI-generated mathematical solutions to detect logical gaps or unclear reasoning. Delivered structured feedback to help internal teams improve evaluation guidelines and quality benchmarks. • RLHF refinement support • Mathematical solution review and ranking • Logical gap detection in technical content • Feedback for evaluation guideline and benchmark improvements

2023 - Present

AI Data & Data Science Specialist (Fellowship) at ALX Africa (Remote)

Don't discloseFine-tuning

Engineered structured task trajectories intended to train AI models for multi-step problem-solving. Applied research-driven workflows and technically intensive data handling as part of a 13-month Data Science specialization. Produced training-oriented structures supporting AI model improvement activities. • Multi-step problem-solving task trajectory design • Research-driven AI training workflow construction • Technically intensive data handling • Professional development aligned with AI training

2025 - 2026

Education

Work History