Content Writer (Marathi)

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 inRed Teaming, Prompt Evaluation , andAI/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: ConductRed Teaming exercisesto 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 assessaccuracy, 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. Performmanual QAand 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 inAI red teaming , LLM safety testing, or adversarial prompt design. Familiarity withprompt engineering , NLP tasks, and ethical considerations in generative AI. Strong background inQuality 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: of Questions: 36 Test Duration: 90 minutes Total Marks: 100 iCAP

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