Eric Munjuru

Key Skills

Software

Clickworker

Appen

Mercor

Label Studio

Micro1

Mindrift

OneForma

Top Subject Matter

Software QA

AI Systems

Web Applications

Top Data Types

Image

Text

Video

Top Task Types

Classification

Text Generation

Red Teaming

Evaluation/Rating

Computer Programming/Coding

Transcription

Object Detection

Freelancer Overview

Freelance Data Labeling, Annotation & AI Experimentation. Brings 9+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Label Studio. Education includes Bachelor of Science, Jomo Kenyatta University of Agriculture and Technology and Diploma in Information Technology, Jomo Kenyatta University of Agriculture and Technology. AI-training focus includes data types such as Image and labeling workflows including Classification.

Labeling Experience

Freelance Data Labeling, Annotation & AI Experimentation

Label StudioImageClassification

Contributed to structured evaluation and annotation tasks during freelance and personal projects, emphasizing manual review and AI workflow exploration. Developed annotation skills using tools such as Label Studio within AI experimentation environments. Tasks centered on classifying and validating content including images and supporting AI system development. • Performed manual data labeling with attention to detail • Reviewed and validated structured data for training • Utilized Label Studio and other QA tools • Explored AI-assisted labeling and Python scripting

Contributed to structured evaluation and annotation tasks during freelance and personal projects, emphasizing manual review and AI workflow exploration. Developed annotation skills using tools such as Label Studio within AI experimentation environments. Tasks centered on classifying and validating content including images and supporting AI system development. • Performed manual data labeling with attention to detail • Reviewed and validated structured data for training • Utilized Label Studio and other QA tools • Explored AI-assisted labeling and Python scripting

2022 - Present

Image Classification for Retail Product Catalogs

ImageClassification

Labeled thousands of product images into categories such as clothing, electronics, home appliances, and accessories. Tools: LabelImg, CVAT, Labelbox Output: High-accuracy labeled dataset used to train a product recommendation and search system. Key Skills: Multi-class classification, dataset cleaning, edge-case handling (ambiguous product types).

Labeled thousands of product images into categories such as clothing, electronics, home appliances, and accessories. Tools: LabelImg, CVAT, Labelbox Output: High-accuracy labeled dataset used to train a product recommendation and search system. Key Skills: Multi-class classification, dataset cleaning, edge-case handling (ambiguous product types).

2026 - 2026

Object Detection for Autonomous Driving

ImageObject Detection

Task: Annotated street images and video frames with bounding boxes for cars, pedestrians, cyclists, traffic lights, and road signs. Tools: CVAT, Supervisely Output: Training dataset for computer vision models used in driver-assistance systems. Key Skills: Bounding box annotation, occlusion handling, class balancing, temporal consistency in video labeling.

Task: Annotated street images and video frames with bounding boxes for cars, pedestrians, cyclists, traffic lights, and road signs. Tools: CVAT, Supervisely Output: Training dataset for computer vision models used in driver-assistance systems. Key Skills: Bounding box annotation, occlusion handling, class balancing, temporal consistency in video labeling.

2025 - 2026

Sentiment Annotation for Customer Feedback (NLP)

TextClassification

Task: Labeled customer reviews and social media posts as Positive, Neutral, or Negative sentiment. Tools: Labelbox, spreadsheets, custom annotation tools Output: Dataset used to train sentiment analysis models for brand monitoring dashboards. Key Skills: Text classification, ambiguity resolution, contextual interpretation.

Task: Labeled customer reviews and social media posts as Positive, Neutral, or Negative sentiment. Tools: Labelbox, spreadsheets, custom annotation tools Output: Dataset used to train sentiment analysis models for brand monitoring dashboards. Key Skills: Text classification, ambiguity resolution, contextual interpretation.

2025 - 2025

AI Red Teaming & Safety Data Annotation (LLM Evaluation)

TextRed Teaming

Evaluated AI model outputs by testing for unsafe, biased, misleading, or policy-violating responses across a wide range of prompts. Annotated model behavior based on safety guidelines and severity of issues identified.

Evaluated AI model outputs by testing for unsafe, biased, misleading, or policy-violating responses across a wide range of prompts. Annotated model behavior based on safety guidelines and severity of issues identified.

2024 - 2025

Education

Work History