Lucky Lucky

Key Skills

Software

Other

Mercor

Scale AI

Appen

Lionbridge

Telus

Top Subject Matter

NLP and computer vision

Computer vision and NLP

Conversational AI and LLMs

Top Data Types

Text

Image

Top Task Types

Classification

Bounding Box

RLHF

Freelancer Overview

Data Annotation Specialist (Remote). Core strengths include Other, Mercor, and Scale AI. Education includes Master of Science, Massachusetts Institute of Technology (2024) and Bachelor of Science, University of Oxford (2022). AI-training focus includes data types such as Text and Multi-modal and labeling workflows including Classification, Bounding Box, and RLHF.

Labeling Experience

Data Annotation Specialist (Remote)

OtherTextClassification

As a Data Annotation Specialist at Handshake, I annotated over 10,000 text and image datasets for natural language processing and computer vision models. I ensured high accuracy and consistency in all labeling tasks, consistently surpassing quality benchmarks. My work contributed directly to the training data that powers advanced AI systems. • Maintained 98% labeling accuracy through careful review and adherence to annotation guidelines. • Collaborated remotely with cross-functional AI and data teams. • Delivered labeled datasets efficiently under tight deadlines. • Specialized in NLP text classification and image annotation tasks.

As a Data Annotation Specialist at Handshake, I annotated over 10,000 text and image datasets for natural language processing and computer vision models. I ensured high accuracy and consistency in all labeling tasks, consistently surpassing quality benchmarks. My work contributed directly to the training data that powers advanced AI systems. • Maintained 98% labeling accuracy through careful review and adherence to annotation guidelines. • Collaborated remotely with cross-functional AI and data teams. • Delivered labeled datasets efficiently under tight deadlines. • Specialized in NLP text classification and image annotation tasks.

2023 - Present

Data Labeling Analyst (Remote)

MercorBounding Box

As a Data Labeling Analyst at Mecor, I conducted multi-modal data labeling projects using bounding boxes, sentiment tagging, and entity recognition techniques. I was responsible for reviewing annotation guidelines and ensuring all team output met quality control standards. My efforts played a key role in building accurate AI training datasets for commercial use cases. • Performed image and text annotations, including NER and sentiment analysis. • Worked alongside QA teams to validate label consistency. • Applied bounding boxes to images for object detection and recognition. • Contributed to process documentation and annotation guideline refinement.

As a Data Labeling Analyst at Mecor, I conducted multi-modal data labeling projects using bounding boxes, sentiment tagging, and entity recognition techniques. I was responsible for reviewing annotation guidelines and ensuring all team output met quality control standards. My efforts played a key role in building accurate AI training datasets for commercial use cases. • Performed image and text annotations, including NER and sentiment analysis. • Worked alongside QA teams to validate label consistency. • Applied bounding boxes to images for object detection and recognition. • Contributed to process documentation and annotation guideline refinement.

2022 - 2023

AI Trainer & Annotator (Remote)

Scale AITextRLHF

During my role as AI Trainer & Annotator at Atlas (a Scale AI partner), I contributed to reinforcement learning from human feedback projects for large language models. My core focus was on labeling and reviewing conversational datasets to ensure project alignment. I helped refine AI model outputs via feedback and data annotation best practices. • Provided feedback-based tuning for conversational AI alignment. • Reviewed and rated dialogue quality and context relevance. • Labeled response appropriateness and flagged errors/omissions. • Supported prompt design and response classification initiatives.

During my role as AI Trainer & Annotator at Atlas (a Scale AI partner), I contributed to reinforcement learning from human feedback projects for large language models. My core focus was on labeling and reviewing conversational datasets to ensure project alignment. I helped refine AI model outputs via feedback and data annotation best practices. • Provided feedback-based tuning for conversational AI alignment. • Reviewed and rated dialogue quality and context relevance. • Labeled response appropriateness and flagged errors/omissions. • Supported prompt design and response classification initiatives.

2021 - 2022

Freelance Data Annotator

AppenClassification

As a Freelance Data Annotator, I worked across Appen, Lionbridge, and Telus International on multiple data labeling projects. My tasks included detailed speech recognition labeling, image segmentation, and text classification for major AI clients. I consistently delivered high-quality work under diverse project requirements and toolsets. • Annotated audio, image, and text data using leading data labeling platforms. • Applied segmentation masks for image datasets and labels for text/audio tasks. • Managed task queues and project submissions across multiple clients remotely. • Utilized proprietary and commercial tools for various annotation formats.

As a Freelance Data Annotator, I worked across Appen, Lionbridge, and Telus International on multiple data labeling projects. My tasks included detailed speech recognition labeling, image segmentation, and text classification for major AI clients. I consistently delivered high-quality work under diverse project requirements and toolsets. • Annotated audio, image, and text data using leading data labeling platforms. • Applied segmentation masks for image datasets and labels for text/audio tasks. • Managed task queues and project submissions across multiple clients remotely. • Utilized proprietary and commercial tools for various annotation formats.

2020 - 2021

Education

Work History