Remote ofertas em Canadá

Who are we?

Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.

We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.

Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.

Join us on our mission and shape the future!

Location: Whilst Cohere is a remote friendly organisation, to ensure close collaboration with key partners, this hire must be based between East Coast US / CAN and Central Europe. If office working is preferred, then we welcome candidates to join us in our Toronto, Montreal, NYC, London or Paris locations.

We're seeking a Safety Operations Lead to join our team on the East Coast or in Europe. In this role, you'll be at the intersection of AI safety and operational excellence, managing end-to-end data annotation projects that are critical to developing safer, more reliable AI systems. You'll work closely with our Safety Modeling team to translate complex safety concepts (from identifying harmful bias to preventing misuse) into clear, scalable labeling projects. Your responsibilities will span the full lifecycle of data operations: designing and piloting annotation projects, building robust quality assurance frameworks, managing our in-house team of expert annotators, and overseeing relationships with external vendors to ensure they meet our rigorous standards. Beyond execution, you'll drive strategic planning by forecasting data needs, managing budgets, and establishing KPIs that ensure quality, throughput, and cost-effectiveness. This is an opportunity to shape how AI safety data is collected, managed, and delivered at scale, requiring strong leadership, meticulous project management, and a deep commitment to AI safety principles.

• Collaborate and Identify Data Needs: Work closely with our Safety Modeling team to deeply understand their data requirements for e.g. model training, evaluation or red-teaming.
• Operationalize Data Needs: Translate complex safety concepts (e.g., identifying harmful bias, preventing misuse) into clear, actionable data annotation instructions and scalable labeling projects.
• End-to-End Project Management: Manage the entire lifecycle of data annotation projects, from initial design and pilot phases through to final data delivery, ensuring we meet ambitious quality and timeline goals.
• Build Quality Systems: Design, implement, and refine robust quality assurance (QA) frameworks and feedback loops to monitor data accuracy, track annotator performance, and continuously improve our annotation workflows.
• Lead an Internal Team: Manage our in-house team of data annotators. This includes hiring, onboarding, continuous training, performance management, and day-to-day operations to foster a high-performing, expert team.
• Manage External Partners: Oversee relationships with external annotation vendors, including project scoping, setup, tracking execution against SLAs, and performing regular quality audits to ensure they meet our rigorous standards.
• Define and Drive Success: Establish, monitor, and report on key performance indicators (KPIs) for all data annotation efforts. You will hold both internal and external teams accountable for quality, throughput, and cost-effectiveness.
• Strategic Planning: Drive resource planning by creating roadmaps that anticipate future data needs, forecasting internal hiring requirements, and managing budgets for external vendor engagements.

• 3+ years of experience in data annotation, data operations, or a similar operational role within a technology-focused environment.
• A strong background or deep domain expertise in areas crucial to AI Safety, such as LLM safety principles, content moderation, trust & safety, policy development, or online risk analysis.
• Proven track record of managing complex data labeling or content review projects from inception to completion.
• 2+ years of direct people management experience, with a demonstrated ability to hire, train, and develop high-performing operational teams.
• Exceptional organizational and project management skills, with an ability to manage multiple complex projects simultaneously.
• A data-driven mindset with experience in defining and tracking metrics to improve operational performance.
• Excellent communication and interpersonal skills, with the ability to work effectively with both technical and non-technical stakeholders.

• Experience working directly with third-party data labeling vendors and platforms (e.g., Scale AI, Appen, Surge AI).
• Familiarity with the challenges of subjective data and developing annotation guidelines for nuanced tasks.
• Basic proficiency in SQL or a scripting language (like Python) for data analysis and workflow automation.

If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply!

We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.

An open and inclusive culture and work environment

Work closely with a team on the cutting edge of AI research

Weekly lunch stipend, in-office lunches & snacks

Full health and dental benefits, including a separate budget to take care of your mental health

100% Parental Leave top-up for up to 6 months

Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement

Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend

✈️ 6 weeks of vacation (30 working days!)