Data Quality Specialist - London, United Kingdom - Cohere

Cohere
Cohere
Verified Company
London, United Kingdom

1 week ago

Tom O´Connor

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Tom O´Connor

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Description

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 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 the 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


Why this role?

  • We are on a mission to build machines that understand the world and make them safely accessible to all. Data quality is foundational to this process. Machines (or Large Language Models to be exact) learn in similar ways to humans by way of feedback. By labelling, ranking, auditing, and correcting text output, you will improve Large Language Model's performance for iterations to come, thus having a lasting impact on Cohere's tech. **Cohere is on the lookout for dynamic and dedicated Data Annotators with exceptional skills in Modern Standard Arabic writing and translation.

As a Data Quality Specialist, you will:


  • Label and Rank: Accurately label and rank machine learning data with advanced proficiency in Modern Standard Arabic, ensuring data integrity and quality.
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Audit and Correct: Scrutinize and rectify any inaccuracies in language data, maintaining the highest standard of data accuracy.
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Reading and Text-Based Tasks: Efficiently complete reading and text-based assignments, with high attention to detail.
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Preference-Based Tasks: Evaluate and complete tasks, assessing which responses in Modern Standard Arabic best conform to our style guide.
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Recommend Optimizations: Identify and suggest opportunities for improving data quality and model performance in Arabic language tasks.
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Provide Feedback: Collaborate and communicate effectively, providing feedback to cross-functional team members, particularly on Arabic language-related matters.
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Detail-Oriented Execution: Maintain meticulous attention to detail while performing repetitive and precise tasks, particularly when working with language data.


You may be a good fit if you have:

  • Language Proficiency: Native or near-native proficiency in Arabic; excellent command over English.
  • Expert reading and writing skills which you are ready to prove on our written test.
  • High tolerance for repetitive and monotonous work.
  • Ability to follow complex instructions, navigate ambiguity and work independently.
  • Superb sense of urgency and time management.
  • Curiosity about technology and a knack for tackling problems in creative ways.
  • A reliable laptop you are able to bring into the office.
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Virtual Meet & Greet - If selected to move forward, you will have a short video call with a member of our Annotation Army
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Practical Assessment - This assignment will test your written skill through various language-based tasks, such as a a writing sample, interacting with a chat bot, and more.
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Offer - Independent Contractor Agreement.

We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants of all kinds and are committed to providing an equal opportunity process. Cohere provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.


Our Perks:


  • An open and inclusive culture and work environment
- ‍ Work with cutting-edge AI technology

A vibrant & central location

A great selection of office snacks

Performance-based incentives

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