Lewis Mokua

Key Skills

Software

Mindrift

Appen

Top Subject Matter

Machine Learning AI Models

Natural Language Processing

AI Model Evaluation and Training

Top Data Types

Text

Image

Top Task Types

Classification

Freelancer Overview

Data Annotator – Mindrift (Remote). Core strengths include Mindrift, Appen, and Turing. Education includes Master of Science, University of Nairobi (2023) and Bachelor of Science, University of Nairobi (2018). AI-training focus includes data types such as Text and labeling workflows including Classification, Evaluation, and Rating.

Labeling Experience

Business Analyst / Data Annotator – Turing (Remote)

Text

As a Business Analyst and Data Annotator at Turing, I conduct side-by-side evaluations of AI responses and label outputs to refine model quality. My role includes providing structured feedback and validating AI-generated data. I am responsible for ensuring that all labeled data meets established guidelines for training and evaluation purposes. • Evaluated and rated AI-generated text outputs. • Provided feedback and corrections to improve data quality. • Used Turing's proprietary or internal annotation tools. • Participated in quality assurance initiatives for labeled datasets.

As a Business Analyst and Data Annotator at Turing, I conduct side-by-side evaluations of AI responses and label outputs to refine model quality. My role includes providing structured feedback and validating AI-generated data. I am responsible for ensuring that all labeled data meets established guidelines for training and evaluation purposes. • Evaluated and rated AI-generated text outputs. • Provided feedback and corrections to improve data quality. • Used Turing's proprietary or internal annotation tools. • Participated in quality assurance initiatives for labeled datasets.

2026 - Present

Data Annotator – Mindrift (Remote)

MindriftTextClassification

As a Data Annotator at Mindrift, I performed data labeling and annotation tasks focusing on high-quality and accurate outputs. I worked collaboratively to align datasets with AI model requirements, ensuring consistency across projects. My responsibilities emphasized maintaining accuracy and meeting quality standards at all times. • Labeled and enriched text datasets for machine learning models. • Applied annotation guidelines to ensure data consistency. • Used Mindrift's proprietary labeling platform for all tasks. • Contributed to team discussions on data standards.

As a Data Annotator at Mindrift, I performed data labeling and annotation tasks focusing on high-quality and accurate outputs. I worked collaboratively to align datasets with AI model requirements, ensuring consistency across projects. My responsibilities emphasized maintaining accuracy and meeting quality standards at all times. • Labeled and enriched text datasets for machine learning models. • Applied annotation guidelines to ensure data consistency. • Used Mindrift's proprietary labeling platform for all tasks. • Contributed to team discussions on data standards.

2024 - 2025

Editor and Data Annotator – Appen (Remote)

AppenTextClassification

At Appen, I served as an Editor and Data Annotator, focusing on reviewing and labeling textual datasets. My primary responsibility was to ensure the accuracy and quality of data delivered across multiple projects. I consistently met tight project deadlines while maintaining high labeling standards. • Labeled and classified text data for various machine learning projects. • Reviewed and verified dataset quality for consistency. • Utilized Appen's internal and proprietary annotation tools. • Maintained high throughput in fast-paced settings.

At Appen, I served as an Editor and Data Annotator, focusing on reviewing and labeling textual datasets. My primary responsibility was to ensure the accuracy and quality of data delivered across multiple projects. I consistently met tight project deadlines while maintaining high labeling standards. • Labeled and classified text data for various machine learning projects. • Reviewed and verified dataset quality for consistency. • Utilized Appen's internal and proprietary annotation tools. • Maintained high throughput in fast-paced settings.

2021 - 2023

Education

Work History