Job Description

Innodata (NASDAQ: INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are an AI technology solutions provider-of-choice for 4 out of 5 of the world’s biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine.

By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we’re helping usher in the promise of AI. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms.

Our global workforce includes over 5,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany.

Innodata Inc. : CONTENT WRITER, Language:(French), Location:(Canada)

Job Description:

We are seeking highly analytical and detail-oriented professionals with hands-on experience in Red Teaming, Prompt Evaluation , and AI/LLM Quality Assurance . The ideal candidate will help us rigorously test and evaluate AI-generated content to identify vulnerabilities, assess risks, and ensure compliance with safety, ethical, and quality standards.

Key Responsibilities:

• Conduct Red Teaming exercises to identify adversarial, harmful, or unsafe outputs from large language models (LLMs).
• Evaluate and stress-test AI prompts across multiple domains (e.g., finance, healthcare, security) to uncover potential failure modes.
• Develop and apply test cases to assess accuracy, bias, toxicity, hallucinations , and misuse potential in AI-generated responses.
• Collaborate with data scientists, safety researchers, and prompt engineers to report risks and suggest mitigations.
• Perform manual QA and content validation across model versions, ensuring factual consistency, coherence, and guideline adherence.
• Create evaluation frameworks and scoring rubrics for prompt performance and safety compliance.
• Document findings, edge cases, and vulnerability reports with high clarity and structure.

Requirements:

• Proven experience in AI red teaming , LLM safety testing, or adversarial prompt design.
• Familiarity with prompt engineering , NLP tasks, and ethical considerations in generative AI.
• Strong background in Quality Assurance , content review, or test case development for AI/ML systems.
• Understanding of LLM behaviors, failure modes, and model evaluation metrics.
• Excellent critical thinking, pattern recognition, and analytical writing skills.
• Ability to work independently, follow detailed evaluation protocols, and meet tight deadlines.

Preferred Qualifications:

• Prior work with teams like OpenAI, Anthropic, Google DeepMind, or other LLM safety initiatives.
• Experience in risk assessment, red team security testing, or AI policy & governance.

Background in linguistics, psychology, or computational ethics is a plus.

If Interested, kindly send your resume at: Tsharma@innodata.com.

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