Content Policy Specialist (1-year contract; 20 hrs/week)

Toronto, Ontario, Canada

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Part TimeJob Type

UnknownVisa

Artificial Intelligence, BiotechnologyIndustries

Requirements

Candidates should have experience working on LLM content policy and a strong understanding of potential LLM safety risks, particularly for enterprise LLMs. Excellent research and writing skills are necessary for maintaining extensive documentation. Previous experience in Trust & Safety, Content Policy, or AI Safety, with a focus on various geographic regions including Europe, the Middle East, and East Asia, is required. The ability to collaborate effectively with researchers, ML practitioners, and product managers, and to work independently as a self-starter within a distributed team, is also essential. Familiarity with multi-modal content policies, including those related to violence, image-based abuse, and CSEA/CSAM, is a plus.

Responsibilities

The Content Policy Specialist will draft, review, edit, and maintain safety content policies and guidelines, ensuring clarity for all team members. They will track policy drafting and updates, maintaining a detailed record of the policy lifecycle. Responsibilities include maintaining and updating the policy hub for internal and external accessibility. The role involves developing multi-modal content policies, focusing on high-harm areas like violence, image-based abuse, and CSEA/CSAM. Additionally, the specialist will review and label potentially harmful content to refine policies and harm definitions.

Skills

Content policy

Policy drafting

Policy review

Policy editing

Documentation

Safety guidelines

Large Language Models (LLMs)

AI safety

Content moderation

Cohere

Provides NLP tools and LLMs via API

About Cohere

Cohere provides advanced Natural Language Processing (NLP) tools and Large Language Models (LLMs) through a user-friendly API. Their services cater to a wide range of clients, including businesses that want to improve their content generation, summarization, and search functions. Cohere's business model focuses on offering scalable and affordable generative AI tools, generating revenue by granting API access to pre-trained models that can handle tasks like text classification, sentiment analysis, and semantic search in multiple languages. The platform is customizable, enabling businesses to create smarter and faster solutions. With multilingual support, Cohere effectively addresses language barriers, making it suitable for international use.

Toronto, CanadaHeadquarters

2019Year Founded

$914.4MTotal Funding

SERIES_DCompany Stage

AI & Machine LearningIndustries

501-1,000Employees

Risks

Competitors like Google and Microsoft may overshadow Cohere with seamless enterprise system integration.

Reliance on Nvidia chips poses risks if supply chain issues arise or strategic focus shifts.

High cost of AI data center could strain financial resources if government funding is delayed.

Differentiation

Cohere's North platform outperforms Microsoft Copilot and Google Vertex AI in enterprise functions.

Rerank 3.5 model processes queries in over 100 languages, enhancing multilingual search capabilities.

Command R7B model excels in RAG, math, and coding, outperforming competitors like Google's Gemma.

Upsides

Cohere's AI data center project positions it as a key player in Canadian AI.

North platform offers secure AI deployment for regulated industries, enhancing privacy-focused enterprise solutions.

Cohere's multilingual support breaks language barriers, expanding its global market reach.

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