Mercy S.

Key Skills

Software

Telus

Appen

Top Subject Matter

Multilingual linguistics data (English/Swahili)

NLP and autonomous driving datasets

Autonomous vehicle 3D LiDAR perception datasets

Top Data Types

Text

3D Sensor

Image

Top Task Types

Cuboid

Bounding Box

Polygon

Segmentation

Classification

Point/Key Point

Polyline

Object Detection

Text Generation

Question Answering

Freelancer Overview

AI Data Trainer & Linguistics Annotator (remote). Core strengths include Telus, N, and A. Education includes Certificate, Samasource Kenya Academy (2024) and Bachelor's Degree, Egerton University (2019). AI-training focus includes data types such as Text and 3D Sensor and labeling workflows including Evaluation, Rating, and Cuboid.

Labeling Experience

AI Data Trainer & Linguistics Annotator (remote)

TelusText

Trained AI models by performing large-scale text annotation for autonomous driving and NLP projects, supporting downstream semantic and linguistic performance. Conducted linguistic evaluation for English and Swahili and provided feedback to improve model understanding and alignment quality. Collaborated with cross-functional AI research teams to raise data quality standards and annotation efficiency. • Annotated large-scale texts for autonomous and NLP use cases • Trained models for entity recognition and translation alignment • Performed linguistic evaluations and iterative feedback • Worked with research teams to improve dataset quality

2022 - Present

3D LIDAR Data Annotator and Quality Checker (onsite)

3D SensorCuboid

Annotated 3D sensor data by creating and reviewing 3D bounding boxes for pedestrians, vehicles, and static objects in autonomous vehicle datasets. Ensured high-precision labeling accuracy through frame-by-frame LiDAR point cloud analysis. Participated in quality audit programs to maintain consistency across multiple labeling projects. • Created 3D bounding boxes for autonomous driving objects • Reviewed annotations to maintain high precision accuracy • Analyzed LiDAR point clouds frame by frame for correctness • Took part in quality audits for inter-project consistency

2021 - 2022

Translation and linguistics specialist (remote)

AppenText

Provided multilingual translation and linguistics support between English and Kiswahili for technical and conversational content. Evaluated machine translation outputs and improved linguistic fluency for downstream AI use. Supported lexicon and corpus development to strengthen multilingual AI system resources. • Translated technical and conversational text English↔Kiswahili • Evaluated machine translation and improved fluency quality • Supported lexicon and corpus development for multilingual AI • Contributed to dataset quality for language processing systems

2020 - 2021

Education

Work History