Sam Nwachukwu

Key Skills

Software

Label Studio

Prodigy

Supervisely

CVAT

Top Subject Matter

Natural Language Processing (NLP)

Speech Recognition

Sentiment Analysis

Top Data Types

Audio

Image

Text

Top Task Types

Transcription

Object Detection

Segmentation

Text Generation

Text Summarization

Freelancer Overview

Senior Data Annotator (NLP & CV) at Defined.AI. Core strengths include Label Studio, Prodigy, and Supervisely. Education includes Bachelor of Science, Northeastern University (2024) and Postgraduate Certificate, Universidade do Porto (2021). AI-training focus includes data types such as Audio and Image and labeling workflows including Transcription and Object Detection.

Labeling Experience

Video Labeling at Atlas Capture

VideoSegmentation

It a segmentation projects, so you have to label every segment of a video correctly

It a segmentation projects, so you have to label every segment of a video correctly

2026 - Present

Senior Data Annotator (NLP & CV) at Defined.AI

Label StudioAudioTranscription

Annotated large-scale datasets for speech recognition, sentiment analysis, and named entity recognition (NER) in Portuguese and English. Ensured high quality and consistency in labeling for Natural Language Processing (NLP) tasks. Specialized in both audio and text data for developing robust AI models. • Worked on multilingual datasets for training and validating NLP models. • Utilized annotation tools such as Label Studio, Prodigy, Supervisely, CVAT, and VGG Image Annotator. • Contributed to quality assurance and ethical AI annotation practices. • Provided feedback loops to improve AI model outcomes.

Annotated large-scale datasets for speech recognition, sentiment analysis, and named entity recognition (NER) in Portuguese and English. Ensured high quality and consistency in labeling for Natural Language Processing (NLP) tasks. Specialized in both audio and text data for developing robust AI models. • Worked on multilingual datasets for training and validating NLP models. • Utilized annotation tools such as Label Studio, Prodigy, Supervisely, CVAT, and VGG Image Annotator. • Contributed to quality assurance and ethical AI annotation practices. • Provided feedback loops to improve AI model outcomes.

2021 - Present

Data Annotator at Telus International AI

Label StudioImageObject Detection

Labeled images and video data for object detection and segmentation projects. Participated in model training feedback loops for computer vision models. Ensured precise annotations to enhance computer vision accuracy and robustness. • Applied bounding boxes and segmentation masks to diverse datasets. • Maintained stringent quality control measures across the annotation workflow. • Collaborated with AI engineering teams on annotation strategy and model improvements. • Used annotation tools including Label Studio, Prodigy, Supervisely, CVAT, and VGG Image Annotator.

Labeled images and video data for object detection and segmentation projects. Participated in model training feedback loops for computer vision models. Ensured precise annotations to enhance computer vision accuracy and robustness. • Applied bounding boxes and segmentation masks to diverse datasets. • Maintained stringent quality control measures across the annotation workflow. • Collaborated with AI engineering teams on annotation strategy and model improvements. • Used annotation tools including Label Studio, Prodigy, Supervisely, CVAT, and VGG Image Annotator.

2019 - 2021

Education

Work History