Remote GRC Analyst: AI Compliance & Risk

Alignerr Corp.; Sydney; Remote; AUD 55,000 - 96,000; Part time

Benefits offered by this job

Autonomy

Flexible schedule

Global collaboration

Job summary

Alignerr is seeking a Governance, Risk & Compliance (GRC) Analyst to help shape how AI systems understand and manage risk. This role focuses on reviewing policies, evaluating controls, and generating training data for AI models in a flexible, fully remote setting.

You will work 10-40 hours per week on an hourly contract, applying SOC 2, ISO 27001, and NIST knowledge to real-world AI risk scenarios and producing precise, actionable feedback for safer AI outcomes.

Qualifications

• 2+ years of experience in GRC, compliance, risk management, or a related field.
• Solid working knowledge of SOC 2, ISO 27001, NIST, or similar frameworks.
• Ability to read and interpret policy documents and audit reports.
• Detail-oriented with strong written reasoning and analytical skills.
• Self-motivated and able to work independently on an asynchronous schedule.

Responsibilities

• Review and analyze security policies, controls, and procedures for accuracy and completeness
• Evaluate compliance scenarios across frameworks such as SOC 2, ISO 27001, and NIST
• Assess risk statements, control mappings, and audit-style documentation
• Generate and validate high-quality training and evaluation data for AI systems
• Apply your real-world GRC knowledge to identify gaps, errors, or weaknesses in AI-generated outputs
• Provide structured, precise written feedback that helps AI reason more accurately about risk

Skills

GRC knowledge

Policy interpretation

Analytical skills

Written reasoning

Job description

Alignerr is seeking a Governance, Risk & Compliance (GRC) Analyst to help shape how AI systems understand and manage risk. This role focuses on reviewing policies, evaluating controls, and generating training data for AI models in a flexible, fully remote setting.

You will work 10-40 hours per week on an hourly contract, applying SOC 2, ISO 27001, and NIST knowledge to real-world AI risk scenarios and producing precise, actionable feedback for safer AI outcomes.