Selasi Tamakloe

Key Skills

Software

CVAT

Other

Remotasks

Dataloop

Labelbox

LabelImg

Mercor

Top Subject Matter

General AI/Machine Learning

Legal Services & Contract Review

Regulatory Compliance & Risk Analysis

Top Data Types

Image

Video

Text

Audio

Document

Top Task Types

Bounding Box

Segmentation

Polygon

Transcription

Data Collection

Polyline

Classification

Freelancer Overview

AI Data Annotation Specialist. Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include CVAT, Other, and Remotasks. Education includes Bachelor of Science, University for Development Studies. AI-training focus includes data types such as Image, Video, and Text and labeling workflows including Bounding Box, Segmentation, and Polygon.

Labeling Experience

AI Data Annotation Specialist

CVATImageBounding Box

As an AI Data Annotation Specialist at CVAT.AI, I delivered accurate annotations for image and video datasets. My work focused on supporting the development of machine learning models through quality data labeling. I also reviewed annotation outputs and provided coaching to junior annotators to maintain high standards. • Consistently met tight project deadlines. • Maintained accuracy and reliability in high-volume tasks. • Utilized CVAT software for annotation workflows. • Improved team output and consistency through mentoring.

As an AI Data Annotation Specialist at CVAT.AI, I delivered accurate annotations for image and video datasets. My work focused on supporting the development of machine learning models through quality data labeling. I also reviewed annotation outputs and provided coaching to junior annotators to maintain high standards. • Consistently met tight project deadlines. • Maintained accuracy and reliability in high-volume tasks. • Utilized CVAT software for annotation workflows. • Improved team output and consistency through mentoring.

2024 - Present

Freelance Data Specialist

RemotasksTextData CollectionTranscription

As a Freelance Data Specialist at Remotasks, I processed large-scale data entry and validation assignments for international clients. My work involved editing, formatting, and ensuring the accuracy of textual and document-based data. I maintained high productivity and quality across constantly changing project workflows. • Carried out data validation and cleaning tasks. • Edited reports for structure and compliance. • Managed large volumes of text-based data efficiently. • Adapted quickly to new data labeling tasks and requirements.

As a Freelance Data Specialist at Remotasks, I processed large-scale data entry and validation assignments for international clients. My work involved editing, formatting, and ensuring the accuracy of textual and document-based data. I maintained high productivity and quality across constantly changing project workflows. • Carried out data validation and cleaning tasks. • Edited reports for structure and compliance. • Managed large volumes of text-based data efficiently. • Adapted quickly to new data labeling tasks and requirements.

2021 - 2025

Data Specialist

OtherTextSegmentationBounding Box

At Aya Data, I handled data annotation tasks for a variety of AI-driven projects involving text, audio, numeric, and video content. My responsibilities included performing segmentation, polygon, and bounding box annotation as well as executing transcription and data cleansing activities. These efforts supported the creation of high-quality training data for machine learning systems. • Labeled and transcribed diverse data formats. • Applied multiple annotation techniques tailored to project requirements. • Ensured data cleanliness and accuracy for training data. • Delivered projects within specified timelines.

At Aya Data, I handled data annotation tasks for a variety of AI-driven projects involving text, audio, numeric, and video content. My responsibilities included performing segmentation, polygon, and bounding box annotation as well as executing transcription and data cleansing activities. These efforts supported the creation of high-quality training data for machine learning systems. • Labeled and transcribed diverse data formats. • Applied multiple annotation techniques tailored to project requirements. • Ensured data cleanliness and accuracy for training data. • Delivered projects within specified timelines.

2021 - 2021

Education

Work History