Catherine M.

Key Skills

Software

Scale AI

Remotasks

Appen

Top Subject Matter

Autonomous Vehicles

Robotics Domain Expertise

Large Language Models

Top Data Types

Image

Video

Text

Top Task Types

Segmentation

Bounding Box

Freelancer Overview

Senior AI Data Labeler & Trainer (Freelance). Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Scale AI, Remotasks, and Appen. Education includes Bachelor of Science, University of Nairobi (2019). AI-training focus includes data types such as Image, Video, and Text and labeling workflows including Segmentation, Bounding Box, and Evaluation.

Labeling Experience

Senior AI Data Labeler & Trainer (Freelance)

Scale AIImageSegmentation

Provided lead annotation for multi-class image segmentation, object detection, and 3D point cloud labeling for autonomous vehicle and robotics use cases. Delivered RLHF-related human preference work by ranking model responses and writing prompts to improve large language model outputs. Maintained consistently high accuracy while collaborating with project managers to adjust annotation strategy as models evolved. • Multi-class image segmentation and object detection labeling • 3D point cloud annotation for robotics/autonomous vehicle data • RLHF tasks: response ranking, prompt writing, and preference data • Quality auditing and contributor onboarding as a lead/trainer

2023 - Present

AI Data Annotation Specialist (Freelance)

RemotasksVideoBounding Box

Completed annotation for large-scale image and video frame datasets using bounding boxes, polygons, and key points for computer vision training. Supported NLP dataset work by labeling NER and text classification content across English and Swahili to expand multilingual coverage. Conducted quality review audits on peer annotations by flagging inconsistencies and providing structured feedback. • Bounding box, polygon, key-point, and semantic segmentation-style annotations • NER and text classification for multilingual English/Swahili data • Peer audit and structured QA feedback for dataset integrity • Achieved high throughput while meeting daily quotas and accuracy thresholds

2021 - 2022

Data Labeling Contributor (Appen / UHRS Platform)

AppenTextClassification

Completed search relevance rating and image-text matching tasks to support major technology company AI products. Performed audio transcription and labeling tasks following platform requirements and consistent formatting guidelines. Annotated sensitive content categories and moderated social media content using culturally and linguistically informed judgment for East African datasets. • Search relevance rating and image-text matching • Audio transcription and transcription-related labeling • Sensitive content categorization and compliance-focused moderation • Social media moderation and judge-agreement quality maintenance

2020 - 2021

Education

Work History