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Digitrench Bpo

Digitrench Bpo

Agency

AI Data Labeling and Training Specialist

USA flag
Sheridan, Usa
$4.00/hrIntermediate5+

Key Skills

Software

LabelboxLabelbox
CVATCVAT

Top Subject Matter

Creative Industries – AI image selection for branding.
E-commerce – product categorization and customer support labeling.
SaaS – AI-driven workflow automation and user interaction labeling.

Top Data Types

ImageImage
TextText
DocumentDocument

Top Task Types

Text Summarization
Classification
Bounding Box
Polygon
Point Key Point

Company Overview

Digitrench offers reliable Business Process Outsourcing (BPO) services designed to help companies reduce operational costs and improve efficiency. Our solutions include customer support, call center management, data entry, order processing, and back-office operations. With trained virtual assistants and dedicated teams, we ensure seamless communication, fast turnaround times, and consistent service quality.

IntermediateHindiEnglish

Security

Security Overview

Employee confidentiality and data handling (e.g., non-disclosure agreements, training on data privacy)and also Physical security measures in your facilities (e.g., CCTV surveillance, secure access to workstations)

Labeling Experience

Labelbox

Visual Data Labeling

LabelboxImageBounding BoxEntity Ner Classification
In this project, we performed image selection by identifying the most suitable images based on client prompts and detailed instructions. Using a combination of AI-assisted labeling tools and manual curation, we ensured each selected image aligned with the specific visual criteria. This process improved the quality and relevance of the dataset for AI model training, ensuring it met precise business objectives.

In this project, we performed image selection by identifying the most suitable images based on client prompts and detailed instructions. Using a combination of AI-assisted labeling tools and manual curation, we ensured each selected image aligned with the specific visual criteria. This process improved the quality and relevance of the dataset for AI model training, ensuring it met precise business objectives.

Present
Labelbox

Handwriting Alphabet Recognition Labeling

LabelboxImageClassificationEntity Ner Classification
In this project, we focused on handwriting alphabet recognition by labeling a large set of handwritten samples. Each image was categorized according to the correct alphabet letter through a precise classification process. By consistently applying this labeling approach, we created a high-quality dataset that supported the development of an accurate AI model for handwritten character analysis.

In this project, we focused on handwriting alphabet recognition by labeling a large set of handwritten samples. Each image was categorized according to the correct alphabet letter through a precise classification process. By consistently applying this labeling approach, we created a high-quality dataset that supported the development of an accurate AI model for handwritten character analysis.

Not specified