Safety Operations Lead at Cohere

Toronto, Ontario, Canada

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

AI, TechnologyIndustries

Requirements

Based between East Coast US/CAN and Central Europe (remote friendly, with offices in Toronto, Montreal, NYC, London, or Paris)
Strong leadership skills
Meticulous project management expertise
Deep commitment to AI safety principles

Responsibilities

Collaborate closely with the Safety Modeling team to understand data requirements for model training, evaluation, or red-teaming
Translate complex safety concepts (e.g., identifying harmful bias, preventing misuse) into clear, actionable data annotation instructions and scalable labeling projects
Manage the entire lifecycle of data annotation projects, from initial design and pilot phases through to final data delivery, ensuring quality and timeline goals are met
Design, implement, and refine robust quality assurance (QA) frameworks and feedback loops to monitor data accuracy, track annotator performance, and improve workflows
Manage the in-house team of data annotators, including hiring, onboarding, continuous training, performance management, and day-to-day operations
Oversee relationships with external annotation vendors, including project scoping, setup, tracking execution against SLAs, and regular quality audits
Establish, monitor, and report on key performance indicators (KPIs) for data annotation efforts, holding teams accountable for quality, throughput, and cost-effectiveness
Drive strategic planning by creating roadmaps that anticipate future data needs and forecasting requirements

Skills

AI Safety

Data Annotation

Labeling Projects

Quality Assurance

Project Management

Team Management

Vendor Management

Bias Detection

Misuse Prevention

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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