Kirwa C.

Key Skills

Software

Encord

SuperAnnotate

Labelbox

Remotasks

Top Subject Matter

AI training and video annotation/evaluation

Data operations QA for client datasets (Uber project)

NLP data labeling (sentiment, intent, NER)

Top Data Types

Video

Text

Image

Top Task Types

Classification

Freelancer Overview

AI Training Specialist (Prompt Engineering & Data Annotation) – Micro1 (Remote). Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Encord, SuperAnnotate, and Darwin V7. Education includes Bachelor of Science, Kenyatta University (2019). AI-training focus includes data types such as Video and Text and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

AI Training Specialist (Prompt Engineering & Data Annotation) – Micro1 (Remote)

EncordVideo

AI training and evaluation focused on prompt engineering and video/data annotation for advanced machine learning models. Assessed AI-generated video outputs by spotting artifacts, inconsistencies, and unnatural patterns that reduce realism. Provided structured feedback and corrective recommendations to improve model output quality and performance. • Used Encord, SuperAnnotate, Darwin V7, and Labelbox for labeling workflows. • Flagged edge cases to refine annotation guidelines during model improvement cycles. • Maintained high accuracy and consistency across complex annotation and evaluation runs. • Partnered with distributed teams to follow updated AI training standards.

2025 - Present

Team Lead / QA Analyst – Data Operations (Uber Project) – Fuzu (Outsourced to Uber India) (Remote)

TextClassification

Managed data labeling operations for the Uber project, ensuring high-quality dataset delivery under strict deadlines. Coordinated end-to-end data workflows from dataset acquisition through final quality validation. Defined annotation strategies and QA processes to meet client requirements and improve dataset reliability. • Designed QA frameworks with metrics and performance benchmarks for labeler and QA agent work. • Performed high-level data quality checks and managed escalations and feedback loops. • Conducted daily client alignment on quality standards, deliverables, AHT, and improvement plans. • Maintained dashboards and trackers using Google Sheets to monitor performance and productivity.

2022 - 2024

Annotation Assistant – NLP Projects (Freelance) – Remotasks

RemotasksText

Performed NLP data labeling and annotation for text and voice datasets used in model training. Labeled and categorized data for sentiment analysis, intent classification, and entity recognition tasks. Applied careful interpretation of contextual edge cases to enhance overall dataset quality. • Specialized in sentiment, intent classification, and entity recognition. • Reviewed and corrected edge cases using contextual understanding. • Ranked among top contributors based on accuracy and speed metrics. • Contributed labeled outputs for training NLP models through consistent guideline adherence.

2021 - 2022

Education

Work History