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Home›Jobs›Cohere›Member of Technical Staff, Data Analysis and Evaluation
Cohere

About Cohere

AI solutions built for enterprise trust and security

🏢 Tech👥 501-1000 employees📅 Founded 2019📍 Grange Park, Toronto, ON💰 $1.5b⭐ 4
B2BArtificial IntelligenceMachine LearningSaaS

Key Highlights

  • Headquartered in Grange Park, Toronto, ON
  • $1.5 billion in funding from top investors
  • Clients include Royal Bank of Canada, Fujitsu, and Oracle
  • Focus on AI solutions for regulated industries

Cohere, headquartered in Grange Park, Toronto, ON, specializes in enterprise-grade AI solutions tailored for regulated industries such as banking and telecom. With $1.5 billion in funding, Cohere has secured contracts with major clients including Royal Bank of Canada, Fujitsu, and Oracle, providing ...

🎁 Benefits

Cohere offers comprehensive benefits including 100% coverage for health, dental, and vision insurance premiums, a $2,000 annual education benefit, six...

🌟 Culture

Cohere's culture emphasizes security and trust in AI adoption, focusing on enterprise needs rather than consumer trends. The company prioritizes a sup...

🌐 Website💼 LinkedInAll 118 jobs →
Cohere

Member of Technical Staff, Data Analysis and Evaluation

Cohere • London

Posted 3w ago🏠 RemoteMid-LevelData analyst📍 London
Apply Now →

Skills & Technologies

Machine learningStatistics

Overview

Cohere is hiring a Member of Technical Staff in Data Analysis and Evaluation to ensure the quality and performance of large language models. You'll work with statistics and machine learning to enhance AI systems. This role requires expertise in data analysis and evaluation.

Job Description

Who you are

You have a strong background in data analysis and evaluation, with expertise in statistics and machine learning. You understand the importance of data quality and have experience in designing and conducting data collection tasks. You thrive in collaborative environments, working closely with researchers, engineers, and data annotators to drive data-driven decision-making. You are detail-oriented and committed to ensuring the robustness and generalizability of AI models. You are passionate about contributing to the advancement of AI technologies and their applications in real-world scenarios.

Desirable

Experience with large language models and familiarity with AI systems is a plus. You have a track record of working in cross-functional teams and can communicate complex data insights effectively to diverse audiences. A background in experimental design and human annotation processes will enhance your contributions to the team.

What you'll do

In this role, you will play a pivotal part in assessing and evaluating the quality of datasets used for training AI models. You will design data collection tasks that align with the goals of improving model performance. Your analytical skills will be crucial in analyzing the robustness of models and ensuring they meet the required standards. You will collaborate with various teams to implement data-driven strategies that enhance the effectiveness of AI systems. Your work will directly impact the quality and reliability of the models deployed by Cohere.

What we offer

Cohere provides a supportive and innovative work environment where you can thrive. We offer a flexible remote work policy, allowing you to balance your professional and personal life effectively. Our commitment to mental health is reflected in our benefits, including a budget for mental health support and generous parental leave. You will have access to personal enrichment benefits that promote your well-being and professional growth. Join us in shaping the future of AI and making a meaningful impact in the industry.

Interested in this role?

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