Abraham K.

Key Skills

Software

Scale AI

Mercor

CVAT

Dataloop

Label Studio

Top Subject Matter

Autonomous Driving

Computer Vision

Natural Language Processing

Top Data Types

Video

Text

Image

Document

Top Task Types

Segmentation

Text Generation

Question Answering

Text Summarization

Classification

Entity (NER) Classification

Object Detection

Action Recognition

Freelancer Overview

Senior Data Labeling Specialist. Core strengths include CVAT, DataLoop, and Internal. Education includes Master of Science, University of Washington (2017) and Bachelor of Science, University of British Columbia (2015). AI-training focus includes data types such as Image, Text, and Video and labeling workflows including Classification, Entity (NER) Classification, and Object Detection.

Labeling Experience

Senior Data Labeling Specialist

CVATImageClassification

As Senior Data Labeling Specialist, I led large-scale image annotation projects for autonomous driving applications. I managed a team of over 25 annotators, delivering 1.2M+ high-quality image, polygon, and 3D point cloud labels. Continuous quality audits and annotation playbooks were implemented to maintain accuracy and consistency. • Supervised image classification, polygon segmentation, and 3D point cloud labeling projects. • Improved annotation agreement rates by 22% through workflow optimization. • Introduced active learning loops with ML engineers, curating edge-case datasets. • Delivered projects using Jira and advanced quality control methods.

2022 - Present

Video Action Recognition Dataset Annotator

CVATVideoAction Recognition

I curated and labeled 200 hours of video data with temporal bounding boxes for a video action recognition dataset project. My work contributed data used in a prominent ICCV research publication. Annotation tasks were meticulous, focusing on temporal accuracy and detailed action segmentation. • Labeled and segmented video clips for action recognition. • Ensured annotation temporal precision for research standards. • Delivered high-quality labeled data for publication use. • Supported academic AI research with comprehensive dataset creation.

2023 - 2023

LLM Preference Ranking Pipeline Lead Annotator

Label StudioText

I led annotation of 15,000 prompt-response pairs for LLM fine-tuning as part of a preference ranking pipeline project. My efforts achieved a 92% annotator agreement and advanced the development of a large language model. Rigorous quality control ensured high consistency for preference-based training data. • Managed prompt-response ranking for LLM fine-tuning projects. • Focused on annotation agreement and guideline adherence. • Supported large-scale LLM development with high-quality data. • Ensured robust and ethical dataset creation for AI model training.

2023 - 2023

AI Training & Annotation Coordinator

DataloopTextEntity (NER) Classification

As AI Training & Annotation Coordinator at DataLoop AI, I managed complex NLP annotation projects. I coordinated a team for sentiment analysis, NER, and text summarization tasks, while developing dashboards to track quality. Technical automation improved data export and validation processes. • Managed NLP projects involving entity recognition and sentiment classification. • Reduced labeler ramp-up time by 30% via curriculum redesign. • Automated annotation output processes using Python and Label Studio. • Ensured data quality with custom dashboards monitoring annotator performance.

2019 - 2022

Junior Data Analyst (Annotation Focus)

ImageObject Detection

As Junior Data Analyst (Annotation Focus), I performed quality assurance on over 500,000 labeled images for object detection in retail. My work involved analyzing annotation discrepancies and supporting taxonomy creation. I reported weekly metrics to stakeholders and contributed to consistent data labeling standards. • Conducted QA for large-scale image object detection tasks. • Queried and analyzed annotation data using SQL. • Assisted in e-commerce taxonomy and attribute tag development. • Focused on maintaining high data labeling quality for retail AI models.

2017 - 2019

Education

Work History