For employers

Hire this AI Trainer

Sign in or create an account to invite AI Trainers to your job.

Invite to Job
Paul Farmer

Paul Farmer

Data Annotation Specialist

USA flagATLANTA, Usa
$20.00/hrExpertScale AIAppenMercor

Key Skills

Software

Scale AIScale AI
AppenAppen
MercorMercor
MindriftMindrift
RemotasksRemotasks
TolokaToloka

Top Subject Matter

Machine Learning Data Annotation
Python Developer
Artificial Intelligence (AI)

Top Data Types

ImageImage
VideoVideo
TextText
AudioAudio

Top Task Types

Classification
Bounding Box
Polygon
Point Key Point
Transcription
Entity Ner Classification
Object Detection
Text Generation

Freelancer Overview

Data Annotation Specialist. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Scale AI. Education includes Master of Science, California State University (2023) and Bachelor of Arts, University of Manchester (2021). AI-training focus includes data types such as Text and labeling workflows including Entity (NER) Classification.

ExpertEnglishFrench

Labeling Experience

Multimodal Data Annotation Specialist (AI Training)

AudioText Generation
Worked on large-scale AI training projects involving multimodal datasets, including text, images, audio, and video. Performed detailed data labeling tasks such as image annotation using bounding boxes, polygons, and keypoints for computer vision models. Conducted text categorization, intent classification, and sentiment labeling for natural language processing (NLP) applications. Completed audio transcription and tagging tasks with a strong focus on accuracy and clarity. Handled high volume datasets while strictly following detailed annotation guidelines and quality assurance protocols. Maintained consistency and precision across all tasks, ensuring high-quality outputs that contributed to improved machine learning model performance. Collaborated within structured workflows and met tight deadlines in a production environment.

Worked on large-scale AI training projects involving multimodal datasets, including text, images, audio, and video. Performed detailed data labeling tasks such as image annotation using bounding boxes, polygons, and keypoints for computer vision models. Conducted text categorization, intent classification, and sentiment labeling for natural language processing (NLP) applications. Completed audio transcription and tagging tasks with a strong focus on accuracy and clarity. Handled high volume datasets while strictly following detailed annotation guidelines and quality assurance protocols. Maintained consistency and precision across all tasks, ensuring high-quality outputs that contributed to improved machine learning model performance. Collaborated within structured workflows and met tight deadlines in a production environment.

2020 - 2024

Python Automation & Data Processing for AI Workflows

TextBounding Box
Worked on software based AI support projects focused on developing and maintaining Python scripts to automate data processing and improve workflow efficiency in AI training environments. Built lightweight tools to handle data cleaning, transformation, and reporting for large-scale datasets used in machine learning pipelines. Integrated third-party APIs to streamline data collection and processing tasks, ensuring smooth data flow between systems. Implemented error handling, logging, and configuration management to improve reliability and scalability of automation scripts. Supported data annotation teams by reducing manual workload through automation, improving efficiency and consistency in dataset preparation for AI model training.

Worked on software based AI support projects focused on developing and maintaining Python scripts to automate data processing and improve workflow efficiency in AI training environments. Built lightweight tools to handle data cleaning, transformation, and reporting for large-scale datasets used in machine learning pipelines. Integrated third-party APIs to streamline data collection and processing tasks, ensuring smooth data flow between systems. Implemented error handling, logging, and configuration management to improve reliability and scalability of automation scripts. Supported data annotation teams by reducing manual workload through automation, improving efficiency and consistency in dataset preparation for AI model training.

2022 - 2023
Scale AI

Computer Vision Data Labeling Project

Scale AIVideoPolygon
Contributed to computer vision model development by labeling large image and video datasets. Tasks included drawing bounding boxes, polygon segmentation, and key point annotations for object detection and tracking systems. Ensured high annotation accuracy by following strict project guidelines and validation rules. Worked on diverse datasets involving object recognition and scene understanding, maintaining consistency across frames in video annotation tasks. Participated in quality checks and revisions to improve dataset reliability and model training outcomes.

Contributed to computer vision model development by labeling large image and video datasets. Tasks included drawing bounding boxes, polygon segmentation, and key point annotations for object detection and tracking systems. Ensured high annotation accuracy by following strict project guidelines and validation rules. Worked on diverse datasets involving object recognition and scene understanding, maintaining consistency across frames in video annotation tasks. Participated in quality checks and revisions to improve dataset reliability and model training outcomes.

2021 - 2023

Education

U

University of Manchester

Bachelor of Arts, English Linguistics

Bachelor of Arts
2017 - 2021
C

California State University

Master of Science, Computer Science

Master of Science
2023

Work History

S

Scale Lab AI

Data Annotation Specialist

Dallas
2020 - 2024
A

Alignerr

Python Developer

Minneapolis
2022 - 2023