Martha W.

Key Skills

Software

Other

Top Subject Matter

Linguistics Domain Expertise

Amharic–English linguistic data

NLP dataset quality

Top Data Types

Text

Image

Document

Top Task Types

Object Detection

Freelancer Overview

Data Collection & Quality Reviewer (Contract Projects). Core strengths include N, A, and Other. Education includes Bachelor of Arts, University of Nairobi (2022). AI-training focus includes data types such as Text and Image and labeling workflows including Translation, Localization, and Evaluation.

Labeling Experience

Freelance AI Data Annotator & Language Evaluator (Remote)

OtherImageObject Detection

Tagged and labeled objects in image datasets to support computer vision training workflows. Performed structured verification and consistency checks to ensure annotations met dataset requirements. Coordinated labeling tasks independently in a remote working environment while preserving annotation accuracy and quality. • Labeled objects within image datasets for CV training• Conducted structured verification tasks for dataset consistency• Ensured annotation accuracy during internal QA• Supported dataset reliability for downstream model training

2023 - Present

Freelance AI Data Annotator & Language Evaluator (Remote)

OtherText

Annotated Amharic language datasets to support NLP model training and refinement for machine translation and language understanding use cases. Evaluated AI-generated text outputs using pairwise comparison to judge fluency, relevance, and contextual accuracy. Reviewed machine-translated Amharic–English content to identify grammatical and semantic errors and maintained high accuracy in internal quality assessments. • Annotated Amharic text for NLP dataset creation• Performed pairwise comparison evaluations of AI outputs• Identified grammatical and semantic errors in translated text• Maintained accuracy rates above 95% in QA checks

2023 - Present

Data Collection & Quality Reviewer (Contract Projects)

Text

Collected and validated linguistic datasets to support AI training and NLP model development for Amharic content. Cleaned and preprocessed raw data to remove inconsistencies while applying annotation guidelines to maintain uniformity. Documented and reported data quality issues to improve labeling processes across large-scale projects.• Collected linguistic data and performed validation checks• Cleaned, preprocessed, and normalized datasets for consistency• Applied annotation guidelines to standardize outputs• Reported quality issues and contributed to process improvements

2022 - 2023

Education