GenAI Analyst

ActiveFence Ltd.; United States; Remote; USD 63,000 - 90,000; Full time

Job summary

Alice is seeking a driven, detail-focused professional to become a vital part of our team as a Generative AI Analyst. In this role, you'll dive into the cutting-edge of technology, analyzing content infringements and safeguarding the AI era.

You’ll write adversarial prompts to probe models, oversee data quality, and collaborate with experts across Hate Speech, Misinformation, IP and Copyright. A strong bias for safety and thoroughness is essential.

Qualifications

• Background in AI Safety and/or Responsible AI and/or Trust and Safety.
• Familiarity with recent Generative AI models and agents.
• Near-native English fluency.
• Strong organizational skills and ability to juggle multiple tasks.

Responsibilities

• Develop adversarial prompt strategies to expose vulnerabilities in models.
• Manage projects end-to-end from planning to final delivery.
• Handle large multilingual datasets with precision.
• Investigate new tactics to circumnavigate safety measures.
• Collaborate with engineering, product, policy teams to tackle challenges.
• Promote knowledge exchange and continual learning.

Skills

Attention to detail

English proficiency

Self-starter

Education

Background in AI Safety / Responsible AI / Trust and Safety

Job description

Alice is seeking a driven, detail-focused professional to become a vital part of our team as a Generative AI Analyst. In this role, you'll dive into the cutting-edge of technology, meticulously analyzing various content infringements to secure the new wave of Generative AI tools. Your duties will include collaborating with experts in diverse fields such as Hate Speech, Misinformation, Intellectual Property and Copyright, among others.

Your tasks will involve writing adversarial prompts to identify weaknesses in various AI models, including Large Language Models (LLMs), Text-to-Image, Text-to-Video, AI Agents and beyond. You'll also oversee data management to guarantee the highest quality of outputs.

Responsibilities:

• Developing adversarial and risky prompt strategies across several areas of abuse to expose potential vulnerabilities in models.
• Managing projects end-to-end, from initial planning and oversight through quality assurance to final delivery.
• Handling extensive datasets across multiple languages and areas of abuse, ensuring precision and meticulous attention to detail.
• Ongoing investigation into new tactics for circumventing foundational models' safety measures.
• Working alongside diverse teams, engineering, product, policy, to tackle new challenges and craft forward-thinking strategies and resolutions.
• Promoting a culture of knowledge exchange and continual learning within the team.

Requirements

Must have:

• Background in AI Safety and/or Responsible AI and/or Trust and Safety
• Familiarity with recent Generative AI models and agents is essential, though direct technical experience is not a prerequisite.
• Command of English at a near-native level.
• Attention to detail, organizational capabilities, and the capacity to juggle numerous tasks concurrently.

Additional Wants:

• Experience with various model types (Text-to-Text, Text-to-Image) is desirable.
• Prior experience with OSINT (Open Source Intelligence) will be considered an asset.
• A self-starter attitude, with the energy to excel in a fast-moving and variable environment.

The salary range for this role is $63-90K OTE - Range may vary based on experience. Salary at the time of offer will be commensurate with experience.

About Alice

Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact -whether with each other or with machines.

In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection.