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Data Annotator - Italian Language

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!

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 seeks dynamic and dedicated Data Annotators with exceptional Italian Writing and Italian Translation skills.

Please Note: This is a part-time independent contractor position. In the USA & Canada we seek candidates who are able to commit to 20 hours per week minimum at a $30/hour contract rate. In the UK we seek candidates who are able to commit to 12 hours per week minimum. This role is BYOD 💻 - Bring Your Own Device (laptop). Remote work is permitted. Performance incentives included! 

As a Data Quality Specialist, you will:

  • Label and Rank: Accurately label and rank machine learning data with advanced proficiency in Italian, ensuring data integrity and quality.

  • Audit and Correct: Scrutinize and rectify any inaccuracies in Italian language data, maintaining the highest standard of data accuracy.

  • Reading and Text-Based Tasks: Efficiently complete reading and text-based assignments in Italian with high attention to detail.

  • Preference-Based Tasks: Evaluate and complete tasks, assessing which responses in Italian best conform to our style guide.

  • Recommend Optimizations: Identify and suggest opportunities for improving data quality and model performance in Italian language tasks.

  • Provide Feedback: Collaborate and communicate effectively, providing feedback to cross-functional team members, particularly on Italian language-related matters.

  • Detail-Oriented Execution: Maintain meticulous attention to detail while performing repetitive and precise tasks, particularly when working with Italian language data.

You may be a good fit if you have:

  • Language Proficiency: Native or near-native proficiency in Italian; excellent command over English.

  • Expert reading and writing skills - which you are ready to prove on our written test

  • Strong attention to detail and commitment to accuracy - you’re the type to proofread all of your emails! 

  • 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


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.

Prospective candidates, please be advised: this role may involve exposure to Not Safe For Work (NSFW) content, including explicit, offensive, or other inappropriate material.
This is a contractor role and is not eligible for benefits.

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

If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.

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.

Full-Time Employees at Cohere enjoy these Perks:

🤝 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 6 months for employees based in Canada, the US, and the UK

🎨 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 and London and co-working stipend

✈️ 6 weeks of vacation

Note: This post is co-authored by both Cohere humans and Cohere technology.

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Average salary estimate

$46800 / YEARLY (est.)
min
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$31200K
$62400K

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What You Should Know About Data Annotator - Italian Language , Cohere

Are you passionate about languages and technology? Join Cohere as a Data Annotator for the Italian language, where you'll play a crucial role in shaping the future of AI! At Cohere, we are on a mission to enhance machine understanding and offer delightful experiences powered by AI systems. As a Data Annotator, you'll be diving into the heart of data quality, ensuring that our Large Language Models perform at their best. Your responsibilities will include labeling, ranking, and auditing Italian text outputs, as well as providing insightful feedback to enhance our models. You'll need to possess exceptional Italian writing and translation skills, alongside a keen eye for detail. This is a part-time position, offering flexibility with remote work and a competitive contract rate of $30/hour with performance incentives! If you have native or near-native proficiency in Italian, an unwavering commitment to accuracy, and love working with technology, this could be the perfect role for you. Not only will you contribute to cutting-edge AI projects, but you'll also enjoy a vibrant work culture that celebrates diversity and offers opportunities to learn and grow. At Cohere, every team member plays a vital role in our journey, and we can't wait for you to join us and make an impact on the world of AI!

Frequently Asked Questions (FAQs) for Data Annotator - Italian Language Role at Cohere
What are the responsibilities of a Data Annotator at Cohere?

As a Data Annotator at Cohere, your main responsibilities will include labeling and ranking machine learning data, auditing and correcting inaccuracies in Italian language data, completing text-based assignments, and evaluating responses to align with our style guide. You'll play an essential role in improving the overall quality and performance of our AI models.

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What skills are required for the Data Annotator role at Cohere?

Cohere is looking for candidates with native or near-native proficiency in Italian, excellent English skills, and demonstrated expertise in reading and writing. Strong attention to detail, the ability to work independently, and a methodical approach to repetitive tasks are crucial for success in this role.

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What work environment can I expect as a Data Annotator at Cohere?

Cohere offers a flexible and inclusive work environment for Data Annotators. This part-time role allows for remote work, giving you the freedom to work from anywhere, as long as you have a reliable laptop. You will be part of a vibrant team dedicated to pushing the boundaries of AI technology.

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How many hours will I need to commit to as a Data Annotator at Cohere?

In Canada and the USA, we ask for a commitment of at least 20 hours per week as a Data Annotator at Cohere. In the UK, the minimum is 12 hours per week. This flexibility allows you to balance your work with other personal or professional commitments.

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Is prior experience in data annotation required for the Data Annotator role at Cohere?

While prior experience in data annotation is helpful, it is not strictly required for the Data Annotator role at Cohere. What matters most is your proficiency in Italian, attention to detail, and eagerness to learn and adapt in a dynamic tech environment.

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Common Interview Questions for Data Annotator - Italian Language
Can you describe your experience with the Italian language and how it applies to data annotation?

When answering, highlight your background with the Italian language, mentioning any educational qualifications, practical experience, or projects that showcase your proficiency. Discuss how these experiences equip you to label and audit data accurately.

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How do you ensure accuracy and attention to detail in repetitive tasks?

Emphasize your methods for maintaining focus and accuracy in repetitive work, such as setting specific goals, using checklists, or breaking tasks into manageable parts. Share examples from previous roles that highlight your dedication to precision.

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What tools and technologies are you familiar with in the context of data annotation?

Provide a list of relevant tools that you've used in the past, such as annotation software, spreadsheets, or project management tools. If you have experience with AI-related technologies, be sure to mention that as well.

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How do you handle constructive feedback on your work?

Discuss your openness to constructive criticism and your proactive steps for incorporating feedback to improve your work. Including a specific example of how you turned feedback into an opportunity for growth can strengthen your response.

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What strategies do you use to stay motivated while working independently?

Talk about your personal strategies for self-motivation, such as setting a schedule, creating small milestones, or maintaining a lively work environment. Reflect on how these strategies have helped you in previous remote roles.

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Why do you want to work as a Data Annotator at Cohere?

Express your enthusiasm for Cohere's mission to enhance AI capabilities and your interest in the role itself. Mention how your personal values align with the company culture and your excitement for contributing to projects that make a difference.

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Describe a time when you had to adapt to new information or change in instructions.

Share a specific example from your past where you successfully adapted to changing instructions. Highlight your problem-solving skills and ability to remain flexible in the face of challenges.

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How would you rate your written communication skills in Italian?

Be honest about your proficiency level and provide examples of your written work in Italian. You can mention any relevant courses, writing experiences, or analyses that demonstrate your capabilities.

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Can you give an example of how you provided feedback to a team member?

Describe a constructive feedback experience where you supported a peer's development. Focus on how you communicated your thoughts positively and helped foster a cooperative and effective environment.

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What is your understanding of the potential challenges in data annotation for AI?

Discuss your awareness of common challenges in data annotation, such as bias in data interpretation, maintaining consistency, and managing the volume of data. Share how you plan to overcome these challenges proactively.

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Cohere, founded by AI pioneers, offers a leading enterprise AI platform that combines ease-of-use, data privacy, and unparalleled flexibility with its cloud-agnostic and API-accessible services,

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DATE POSTED
December 4, 2024

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