Patrick Adamba

Key Skills

Software

Clickworker

CloudFactory

CVAT

Data Annotation Tech

Dataloop

iMerit

Labelbox

Mercor

Micro1

Mindrift

OneForma

Remotasks

Sama

Scale AI

SuperAnnotate

Toloka

Telus

Top Subject Matter

Large Language Models

Generative AI

Computer Vision

Top Data Types

3D Sensor

Audio

Video

Top Task Types

Cuboid

Segmentation

Bounding Box

Polygon

Entity (NER) Classification

Point/Key Point

Object Detection

Text Generation

Question Answering

Text Summarization

Polyline

Classification

Transcription

Evaluation/Rating

Data Collection

Prompt + Response Writing (SFT)

Freelancer Overview

Freelance Copywriter & Model Evaluator. Core strengths include Mindrift, Sama, and Remotasks. Education includes Diploma in Civil Engineering, Kenya Institute of Highways and Building Technology and Craft Certificate in Road Construction, Kenya Institute of Highways and Building Technology. AI-training focus includes data types such as Text, Image, and 3D Sensor and labeling workflows including Evaluation, Rating, and Cuboid.

Labeling Experience

Freelance Copywriter & Model Evaluator

MindriftText

In this role, I evaluated and ranked AI-generated responses for accuracy, reasoning, clarity, and instruction adherence. I also produced high-quality prompts and responses for large language model fine-tuning datasets. I systematically identified issues related to hallucinations and inconsistencies, while assessing bias, safety, and compliance risks. • Evaluated 5,000+ AI responses using structured rubrics • Authored 3,000+ prompts for supervised fine-tuning (SFT) • Flagged model weaknesses and safety issues • Maintained high throughput and accuracy benchmarks

In this role, I evaluated and ranked AI-generated responses for accuracy, reasoning, clarity, and instruction adherence. I also produced high-quality prompts and responses for large language model fine-tuning datasets. I systematically identified issues related to hallucinations and inconsistencies, while assessing bias, safety, and compliance risks. • Evaluated 5,000+ AI responses using structured rubrics • Authored 3,000+ prompts for supervised fine-tuning (SFT) • Flagged model weaknesses and safety issues • Maintained high throughput and accuracy benchmarks

2023 - Present

Data Annotation Specialist

Remotasks3D SensorCuboid

As a Data Annotation Specialist, I performed 3D LiDAR object annotation for autonomous vehicle datasets. I used cuboid and segmentation techniques to ensure accurate scene and object labeling. I also tracked objects in video sequences and executed large-scale image annotation projects. • Annotated 30,000+ LiDAR objects (cuboids) for autonomous vehicles • Completed 300,000+ image segmentations and bounding boxes • Tracked objects in 5,000+ video frames • Classified 400,000+ e-commerce product listings by taxonomy

As a Data Annotation Specialist, I performed 3D LiDAR object annotation for autonomous vehicle datasets. I used cuboid and segmentation techniques to ensure accurate scene and object labeling. I also tracked objects in video sequences and executed large-scale image annotation projects. • Annotated 30,000+ LiDAR objects (cuboids) for autonomous vehicles • Completed 300,000+ image segmentations and bounding boxes • Tracked objects in 5,000+ video frames • Classified 400,000+ e-commerce product listings by taxonomy

2018 - Present

Quality Analyst

SamaImage

As a Quality Analyst, I audited and reviewed annotated data points for computer vision projects. I upheld strict quality standards and guidelines, contributing to improved team pass rates and reduced errors. I supplied corrective feedback and flagged ambiguity to enhance documentation and labeling reliability. • Conducted audits on 100,000+ annotated datapoints • Maintained 98%+ quarterly QA accuracy • Reduced annotation errors by 15% • Enhanced team performance and documentation through feedback

As a Quality Analyst, I audited and reviewed annotated data points for computer vision projects. I upheld strict quality standards and guidelines, contributing to improved team pass rates and reduced errors. I supplied corrective feedback and flagged ambiguity to enhance documentation and labeling reliability. • Conducted audits on 100,000+ annotated datapoints • Maintained 98%+ quarterly QA accuracy • Reduced annotation errors by 15% • Enhanced team performance and documentation through feedback

2021 - 2023

Education

Work History