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Eugenio Bambamba

IT Support Technician in Contract Review, Compliance, and Legal Research

MOZAMBIQUE flag
N/A, Mozambique
$15.00/hrEntry LevelAppenCVATLabelbox

Key Skills

Software

AppenAppen
CVATCVAT
LabelboxLabelbox

Top Subject Matter

Legal Services & Contract Review
Regulatory Compliance & Risk Analysis
Legal Research & Document Analysis

Top Data Types

TextText
DocumentDocument

Top Task Types

Bounding Box
Classification
Text Generation
Text Summarization

Freelancer Overview

IT Support Technician in Contract Review, Compliance, and Legal Research. Brings 3+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Education includes Bachelor's Degree in Information Technology, University Name (2020). Well suited for text-focused AI training, including legal document review, compliance annotation, and rubric-based quality evaluation.

Entry LevelPortugueseEnglish

Labeling Experience

AI Data Labeling Specialist – Appen Global AI Project

ImageClassification
I worked as an AI Data Labeling and Quality Specialist on a global AI training project via Appen, a leading platform for data annotation. My main responsibilities included: · Annotating large volumes of visual and textual data for training machine learning models · Performing bounding box annotations and multi-class classification following strict project guidelines · Ensuring high accuracy (98%+) while working under tight deadlines · Reviewing and flagging inconsistent or low-quality data to maintain dataset integrity · Collaborating remotely with international teams in an asynchronous environment The project involved processing thousands of samples, with a strong focus on quality control, attention to detail, and adherence to client-specific labeling rules.

I worked as an AI Data Labeling and Quality Specialist on a global AI training project via Appen, a leading platform for data annotation. My main responsibilities included: · Annotating large volumes of visual and textual data for training machine learning models · Performing bounding box annotations and multi-class classification following strict project guidelines · Ensuring high accuracy (98%+) while working under tight deadlines · Reviewing and flagging inconsistent or low-quality data to maintain dataset integrity · Collaborating remotely with international teams in an asynchronous environment The project involved processing thousands of samples, with a strong focus on quality control, attention to detail, and adherence to client-specific labeling rules.

2025 - Present

Education

U

University Name

Bachelor's Degree in Information Technology, Information Technology

Bachelor's Degree in Information Technology
2020

Work History

T

Technology Solutions Provider

IT Support Technician

N/A
2020 - 2022