Content Writer

4 weeks ago


New Delhi, India Innodata Inc. Full time

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.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. - Experience with one or more of the following is a plus: computational linguistics, corpus analysis, language data annotation, LLM training. - Strong writing, editing, and communication skills.Please complete the Assessment Test:Number of Questions: 36Test Duration: 90 minutesTotal Marks: 100iCAP


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