Alexis Tina

Key Skills

Software

Appen

Clickworker

Data Annotation Tech

HiveMind

Labelbox

Redbrick AI

Remotasks

Scale AI

Snorkel AI

Toloka

CVAT

Top Subject Matter

AI training data

Top Data Types

Audio

Computer Code Programming

Image

Top Task Types

Bounding Box

Classification

Computer Programming Coding

Cuboid

Data Collection

Freelancer Overview

Data Labeling Specialist. Core strengths include Labelbox. AI-training focus includes data types such as Image and labeling workflows including Classification.

Labeling Experience

Data Labeling Specialist

LabelboxImageClassification

As a Data Labeling Specialist, I annotated and labeled large datasets to support supervised machine learning applications. My responsibilities included tagging, classifying, and validating diverse data types, such as images, text, audio, and video, using advanced annotation tools. I played a critical role in ensuring data quality and consistency, collaborating with machine learning teams to improve AI model performance. • Utilized tools like Labelbox, Supervisely, V7, and CVAT for annotation tasks. • Performed quality control checks, maintaining high data accuracy. • Developed workflow optimizations to enhance labeling efficiency. • Provided feedback to refine annotation guidelines and processes.

As a Data Labeling Specialist, I annotated and labeled large datasets to support supervised machine learning applications. My responsibilities included tagging, classifying, and validating diverse data types, such as images, text, audio, and video, using advanced annotation tools. I played a critical role in ensuring data quality and consistency, collaborating with machine learning teams to improve AI model performance. • Utilized tools like Labelbox, Supervisely, V7, and CVAT for annotation tasks. • Performed quality control checks, maintaining high data accuracy. • Developed workflow optimizations to enhance labeling efficiency. • Provided feedback to refine annotation guidelines and processes.

2022 - 2025

High-Precision Image Annotation for Computer Vision Model

CVATImageBounding BoxPolygon

Annotated a large dataset of street scenes to train an AI-powered autonomous driving system. Tasks included drawing precise bounding boxes and polygons around vehicles, pedestrians, road signs, and lane markings to enhance object detection models. Ensured high-quality annotations by following strict labeling guidelines and conducting multiple rounds of quality checks. Collaborated with a team of data labelers and ML engineers to refine annotation protocols and improve labeling efficiency. Managed a dataset of over 100,000 images, contributing to a significant boost in model accuracy.

Annotated a large dataset of street scenes to train an AI-powered autonomous driving system. Tasks included drawing precise bounding boxes and polygons around vehicles, pedestrians, road signs, and lane markings to enhance object detection models. Ensured high-quality annotations by following strict labeling guidelines and conducting multiple rounds of quality checks. Collaborated with a team of data labelers and ML engineers to refine annotation protocols and improve labeling efficiency. Managed a dataset of over 100,000 images, contributing to a significant boost in model accuracy.

2023 - 2023

Education

Work History