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Generative AI Associate - Red Teaming Specialist - Remote

Posted Yesterday
Software Development
Contract
Canada
$20 CAD/hour

Overview

This role involves working on the next generation of generative AI and large language models (LLMs) to ensure their robustness and reliability by identifying vulnerabilities and improving AI systems.

In Short

  • Join a global team dedicated to AI safety and security.
  • Challenge LLMs to ensure their reliability.
  • Craft scenarios and prompts to test AI behavior.
  • Collaborate with language specialists and data scientists.
  • Complete training on AI/ML and Red Teaming.
  • Adapt to dynamic project needs and guidelines.
  • Keep up with evolving AI capabilities and vulnerabilities.
  • Hit productivity targets for prompt writing.
  • Work in a fully remote environment within Canada.
  • Engage in a once-in-a-lifetime opportunity in AI.

Requirements

  • Bachelor's degree or Associates degree with at least 1 year of relevant experience.
  • Advanced degrees (Master’s or PhD) preferred.
  • Professional proficiency in English (C1/C2).
  • Strong understanding of grammar, syntax, and semantics.
  • Ability to handle potentially toxic or NSFW material.

Benefits

  • Wellness resources and mental health support.
  • Equal opportunity employer with a commitment to diversity.
  • Accommodations available for applicants with disabilities.

Innodata

Innodata

Innodata is a leading data engineering company, publicly traded on NASDAQ (INOD), with a global presence in 13 cities and over 3,000 employees. The company serves more than 2,000 clients, including 4 out of 5 of the world's largest technology firms, as well as major players in financial services, insurance, law, and medicine. By leveraging advanced machine learning and artificial intelligence technologies, Innodata is committed to delivering optimized digital data solutions across various industries. The company is currently focused on the next generation of Large Language Models, seeking innovative Language Specialists to enhance AI capabilities and contribute to the evolution of generative AI.

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