Mary Novelyn Culaton

Key Skills

Software

Appen

Clickworker

CloudFactory

CrowdSource

CVAT

Data Annotation Tech

Dataloop

iMerit

Labelbox

Label Studio

Lionbridge

Mercor

Mindrift

OneForma

Playment

Remotasks

Scale AI

SuperAnnotate

Toloka

Telus

Micro1

Don't disclose

Top Subject Matter

Computer Vision / AI Image Generation

Robotics / Egocentric Video

Robotics / Daily Activity Video

Top Data Types

Image

Audio

Video

Text

Document

Top Task Types

Action Recognition

Bounding Box

Classification

Data Collection

Emotion Recognition

Entity (NER) Classification

Evaluation/Rating

Object Detection

Point/Key Point

Prompt + Response Writing (SFT)

Question Answering

Segmentation

Transcription

Freelancer Overview

AI Image Annotation Specialist (Project Nidra – Image Preference WF11). Brings 9+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include iMerit, Flipside, and Micro1. Education includes Bachelor of Science, President Ramon Magsaysay State University (2013) and TESDA Certificate, Best Freeport Colleges (2014). AI-training focus includes data types such as Image, Video, and Text and labeling workflows including Evaluation, Rating, and Data Collection.

Labeling Experience

Data Annotation

AppenVideoEvaluation RatingClassification

Performed detailed data labeling and annotation for large AI datasets, including product images, multimedia content, and text data. Ensured accurate classification and tagging according to strict project guidelines to train and refine machine learning models. Reviewed and corrected annotations to maintain high consistency and data integrity. Collaborated with project teams to meet quality benchmarks and contribute to the overall improvement of AI training datasets.

Performed detailed data labeling and annotation for large AI datasets, including product images, multimedia content, and text data. Ensured accurate classification and tagging according to strict project guidelines to train and refine machine learning models. Reviewed and corrected annotations to maintain high consistency and data integrity. Collaborated with project teams to meet quality benchmarks and contribute to the overall improvement of AI training datasets.

2025 - 2026

Data labeling

AppenImageSegmentationObject Detection

Performed detailed data labeling and annotation for large AI datasets, including product images, multimedia content, and text data. Ensured accurate classification and tagging according to strict project guidelines to train and refine machine learning models. Reviewed and corrected annotations to maintain high consistency and data integrity. Collaborated with project teams to meet quality benchmarks and contribute to the overall improvement of AI training datasets.

Performed detailed data labeling and annotation for large AI datasets, including product images, multimedia content, and text data. Ensured accurate classification and tagging according to strict project guidelines to train and refine machine learning models. Reviewed and corrected annotations to maintain high consistency and data integrity. Collaborated with project teams to meet quality benchmarks and contribute to the overall improvement of AI training datasets.

2025 - 2026

Data Labeling

AppenTextPoint Key PointSegmentation

Performed detailed data labeling and annotation for large AI datasets, including product images, multimedia content, and text data. Ensured accurate classification and tagging according to strict project guidelines to train and refine machine learning models. Reviewed and corrected annotations to maintain high consistency and data integrity. Collaborated with project teams to meet quality benchmarks and contribute to the overall improvement of AI training datasets.

Performed detailed data labeling and annotation for large AI datasets, including product images, multimedia content, and text data. Ensured accurate classification and tagging according to strict project guidelines to train and refine machine learning models. Reviewed and corrected annotations to maintain high consistency and data integrity. Collaborated with project teams to meet quality benchmarks and contribute to the overall improvement of AI training datasets.

2025 - 2025

Data Annotation

AppenAudioEvaluation Rating

Performed detailed data labeling and annotation for large AI datasets, including product images, multimedia content, and text data. Ensured accurate classification and tagging according to strict project guidelines to train and refine machine learning models. Reviewed and corrected annotations to maintain high consistency and data integrity. Collaborated with project teams to meet quality benchmarks and contribute to the overall improvement of AI training datasets.

Performed detailed data labeling and annotation for large AI datasets, including product images, multimedia content, and text data. Ensured accurate classification and tagging according to strict project guidelines to train and refine machine learning models. Reviewed and corrected annotations to maintain high consistency and data integrity. Collaborated with project teams to meet quality benchmarks and contribute to the overall improvement of AI training datasets.

2025

Education

Work History