Brahim Jose T.

Key Skills

Software

Other

Appen

OneForma

Remotasks

Top Subject Matter

Digital workflows

records verification

and analytical data preparation

Top Data Types

Text

Document

Image

Top Task Types

Transcription

Object Detection

Classification

Freelancer Overview

Administrative & Data Analyst (Independent Contractor) supporting data verification and analytical preparation for AI tr. Brings 9+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other, Internal, and Proprietary Tooling. Education includes Bachelor of Business Administration, N/A. AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Labeling Experience

IT Support & Hardware Consultant (Independent Contractor) supporting AI training/evaluation via technical data labeling preparation

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Contributed to AI training model development and large language model evaluation by preparing and verifying technical data used for labeling workflows. Applied digital workflow optimization and logical reasoning to support high-quality, precise analysis for global technology projects. Managed technical documentation and computing systems to enable reliable data labeling and evaluation cycles. • AI training data verification and quality assurance for LLM evaluation • Digital workflow optimization supporting labeling operations • Technical documentation management for traceable labeling processes • Computing systems support to maintain labeling/evaluation readiness

2021 - Present

Administrative & Data Analyst (Independent Contractor) supporting data verification and analytical preparation for AI training/evaluation

OtherText

Performed data verification and quality-control activities to validate records and database entries, ensuring analytical logic and accuracy. Cross-referenced multi-variable information and generated analytical summaries to support downstream AI training and evaluation workflows. Supported technical data labeling efforts by applying precise attention to detail in digital workflows and documentation. • Data verification and quality control for digital records • Cross-referencing and validation of multi-variable information • Analytical summary generation for labeled datasets • Attention to detail aligned to labeling guideline standards

2018 - 2021

Education

Work History