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.

Red Teaming, Prompt Evaluation

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:

https://icap.innodata.com/registerfreelancer?enc=oUTZVsr/Pnz/0Xygc2EK32MdtinqnjC9vy8RU3Ha4EMOn2xzsz28lfblueSandsCblueSand4tZ0blueSandRblueSandGO2sVXI1DFFVSQ6WXDekgezikielezikiel

Number of Questions: 36

Test Duration: 90 minutes

Total Marks: 100

iCAP