AI Data Security & DLP Analyst (Remote)

Alignerr; Municipio de Rincón de los Sauces; Presencial; ARS 83.437.000 - 166.873.000; A tiempo parcial

Ventajas ofrecidas por este puesto de trabajo

Fully remote

Flexible hours

Potential for ongoing work

Descripción de la vacante

Alignerr is seeking a Data Security & DLP Analyst (AI Training) to help train and evaluate frontier AI systems on data exposure and protection in real-world scenarios. This remote, hourly-contract role offers 10-40 hours per week and flexible scheduling for collaboration with leading AI research labs.

Responsibilities include analyzing data security scenarios, classifying data sensitivity, and evaluating prevention and detection strategies to strengthen AI model training data.

Formación

• 2+ years of experience in data security, compliance, information security, or security operations.
• Familiarity with DLP tools and data classification frameworks.
• Understanding of GDPR, HIPAA, or CCPA concepts.
• Ability to work independently and deliver high-quality analyses.
• Interest in AI and trustworthy AI development.

Responsabilidades

• Analyze data security and DLP scenarios across cloud, SaaS, and enterprise environments.
• Classify data sensitivity levels, exposure pathways, and policy violations.
• Evaluate prevention, detection, and incident response strategies for accuracy and completeness.
• Generate, label, and validate data security cases used to train and benchmark AI models.
• Help AI systems develop accurate reasoning about sensitive information risk.

Conocimientos

Data security

DLP

Compliance

Security operations

AI training

Herramientas

Microsoft Purview

Symantec DLP

Forcepoint

Zscaler

Descripción del empleo

Alignerr is seeking a Data Security & DLP Analyst (AI Training) to help train and evaluate frontier AI systems on data exposure and protection in real-world scenarios. This remote, hourly-contract role offers 10-40 hours per week and flexible scheduling for collaboration with leading AI research labs.

Responsibilities include analyzing data security scenarios, classifying data sensitivity, and evaluating prevention and detection strategies to strengthen AI model training data.