For employers

Hire this AI Trainer

Sign in or create an account to invite AI Trainers to your job.

Invite to Job
I
IVEN DIGITAL LLC

IVEN DIGITAL LLC

Agency
USA flagWyoming, Usa
$25.00/hrEntry Level30+ISO 27001HIPPAGDPR

Key Skills

Software

AWS SageMakerAWS SageMaker
CVATCVAT
Kili TechnologyKili Technology
LabelboxLabelbox
Internal/Proprietary Tooling

Top Subject Matter

No subject matter listed

Top Data Types

ImageImage
TextText
VideoVideo

Top Task Types

Bounding BoxBounding Box
Computer Programming/CodingComputer Programming/Coding
RLHFRLHF
Text GenerationText Generation
Text SummarizationText Summarization

Company Overview

IVEN DIGITAL specializes in data annotation, AI model training, and custom software development to enhance machine learning accuracy and digital transformation. Mission To deliver precise, scalable, and secure AI and digital solutions that drive business innovation. Core Services 🔹 Data Annotation & AI Model Training – High-quality image, text, video, and speech labeling, bias audits, and model optimization. 🔹 AI Infrastructure & Development – Cloud-based AI solutions (AWS, Google Cloud), AI automation, and compliance (GDPR, HIPAA). 🔹 Software Development – Custom mobile/web applications, blockchain solutions, and cybersecurity. 🔹 Marketing & Brand Strategy – AI-driven marketing automation, digital advertising, and brand positioning. Tools & Methods ✅ AI-Assisted Annotation – Speed & accuracy with AWS SageMaker, Kili Technology, CVAT, Labelbox, and SuperAnnotate. ✅ Human-in-the-Loop QA – Expert-validated labeling. ✅ Cloud & Database Management – AWS, Google Cloud, PostgreSQL. Industries Served We support legaltech, martech, edtech, fintech, e-commerce, and govtech. Workforce & Security With 150+ AI engineers, data scientists, data annotators, and cybersecurity experts, we ensure data security, encryption, and compliance. Clients & Achievements We’ve delivered AI-driven solutions for Legalpedia, Cognimail, Wizearly, and Moonvalley.com. ✔ Industry-Leading Data Annotation | ✔ Scalable AI Solutions | ✔ Proven Track Record

Entry LevelEnglish

Security

Security Overview

1. Physical Security Measures Restricted access to office facilities with valid authentication. High level security surveillance to monitor office location 24/7. Secure workstations with controlled access to sensitive data. 2. Cybersecurity Policies Multi-layered firewalls and intrusion detection systems (IDS). End-to-end encryption for data storage and transmission. Regular software updates and patch management to mitigate vulnerabilities. Antivirus and endpoint protection across all devices. Secure cloud infrastructure (AWS, Google Cloud, Azure) with role-based access control (RBAC). 3. Employee Confidentiality & Data Handling All employees sign Non-Disclosure Agreements (NDAs). Mandatory security training on data privacy and handling. Principle of least privilege (PoLP) – employees access only the data they need. 4. Regular Audits & Compliance Checks Internal security audits to identify and address risks. Compliance with industry standards and best practices. Third-party security assessments to ensure data protection measures are up-to-date.

Security Credentials

ISO 27001HIPPAGDPR

Labeling Experience

AWS SageMaker

Wizearly

Aws SagemakerComputer Code ProgrammingComputer Programming Coding
IVEN DIGITAL developed WIZE, an AI-powered predictive analytics engine for Wizearly, designed to identify students at risk of chronic absenteeism. The project involved data annotation, AI model training, and integration, ensuring accurate risk predictions and proactive intervention strategies. Scope & Data Labeling We labeled over 1.5 million data points, categorizing attendance trends, behavioral engagement, socioeconomic factors, and intervention outcomes. The dataset was human-verified to enhance accuracy and AI fairness. Project Size & AI Training The AI model was trained on multi-year academic data, deployed on AWS & Google Cloud, and refined through cross-validation and continuous learning. Quality Measures & Compliance To ensure high-quality annotations and AI fairness, we implemented: ✅ Human-in-the-Loop verification for accuracy ✅ Bias & fairness audits to prevent discrimination ✅ Continuous model refinement

IVEN DIGITAL developed WIZE, an AI-powered predictive analytics engine for Wizearly, designed to identify students at risk of chronic absenteeism. The project involved data annotation, AI model training, and integration, ensuring accurate risk predictions and proactive intervention strategies. Scope & Data Labeling We labeled over 1.5 million data points, categorizing attendance trends, behavioral engagement, socioeconomic factors, and intervention outcomes. The dataset was human-verified to enhance accuracy and AI fairness. Project Size & AI Training The AI model was trained on multi-year academic data, deployed on AWS & Google Cloud, and refined through cross-validation and continuous learning. Quality Measures & Compliance To ensure high-quality annotations and AI fairness, we implemented: ✅ Human-in-the-Loop verification for accuracy ✅ Bias & fairness audits to prevent discrimination ✅ Continuous model refinement

2024