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Data Annotator - Spanish 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 Spanish Writing and Spanish 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 Spanish, ensuring data integrity and quality.

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

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

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

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

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

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

You may be a good fit if you have:

  • Language Proficiency: Native or near-native proficiency in Spanish; 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.)
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$31200K
$62400K

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

Cohere is looking for passionate Data Annotators - Spanish Language to join our vibrant team! Imagine being part of a mission where your role directly contributes to building intelligent machines that understand the world! As a Data Annotator at Cohere, you’ll dive into the exciting realm of labeling and auditing data, ensuring top-notch quality in everything from reading tasks to optimizing performance for our Large Language Models. This isn’t just about accuracy; it’s also about innovation! You’ll play a critical role in providing feedback to our cross-functional teams and suggesting ways to enhance data quality—all while working from the comfort of your own space! We need someone fluent in Spanish and English, equipped with a keen sense of detail and a knack for creative problem-solving. If you thrive in dynamic environments and have a curious mind, Cohere is the perfect place for you to grow and make a meaningful impact. Plus, this part-time position offers flexibility, allowing you to work a minimum of 20 hours a week in the US and Canada, or 12 hours in the UK—at a competitive rate of $30 per hour! Join us at Cohere, where you can help shape the future of AI and enjoy the perks of an inclusive culture that celebrates diversity. Ready to take this exciting step? We can't wait to meet you!

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

As a Data Annotator - Spanish Language at Cohere, your main responsibilities include accurately labeling and ranking machine learning data, auditing, and correcting Spanish language data, completing reading and text-based assignments with meticulous attention to detail, and evaluating responses based on our style guide. Additionally, you will provide feedback to the team and identify opportunities for improvement to enhance the data quality, ensuring our Large Language Models perform optimally.

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What qualifications do I need to become a Data Annotator - Spanish Language at Cohere?

To be considered for the Data Annotator - Spanish Language role at Cohere, you'll need to be a native or near-native Spanish speaker with exceptional reading and writing skills. Strong attention to detail, a commitment to accuracy, and the ability to handle repetitive tasks are essential. Candidates should also possess a good command of English, excellent time management skills, and the ability to work independently. Familiarity with technology will be beneficial too!

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What is the work environment like for a Data Annotator - Spanish Language at Cohere?

As a Data Annotator - Spanish Language at Cohere, you can expect a supportive and inclusive work environment. This role allows for remote work, and you will collaborate with a diverse team of professionals who are passionate about AI. Cohere promotes an open culture, where your contributions to improving AI systems are valued, and there's always room for creativity and innovation in your role.

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What is the pay structure for the Data Annotator - Spanish Language role at Cohere?

Cohere offers a competitive pay rate of $30 per hour for the Data Annotator - Spanish Language position. As this is a part-time, independent contractor role, you'll have the flexibility to work a minimum of 20 hours per week in the US or Canada, or 12 hours per week in the UK. Performance incentives are also included, rewarding your contributions to the team!

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What are the perks of working as a Data Annotator - Spanish Language at Cohere?

Working as a Data Annotator - Spanish Language at Cohere comes with several perks! You'll enjoy the flexibility of remote work, a vibrant work culture that values diversity, and the opportunity to work with cutting-edge AI technology. While this contractor role does not include benefits, we offer performance incentives, an inclusive environment, and the chance to contribute meaningfully to the future of AI.

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Common Interview Questions for Data Annotator - Spanish Language
How do you ensure accuracy when labeling data as a Data Annotator - Spanish Language?

When labeling data, I ensure accuracy by closely reviewing the guidelines provided and cross-referencing with reliable sources when necessary. I take my time with each task and approach the process with a detail-oriented mindset. I also repeat tasks where needed to confirm consistency in my annotations.

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Can you describe your experience with Spanish translation and writing?

I have significant experience translating various forms of content from English to Spanish, honing my writing skills in professional contexts. I’ve worked on projects that required cultural sensitivity and a deep understanding of context, ensuring that translations and written content resonate with Spanish-speaking audiences.

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How do you handle monotony and repetitive tasks in a data annotation job?

I maintain focus during repetitive tasks by setting small goals and taking short breaks to keep my mind fresh. I also find that consistently reminding myself of the bigger picture—that each task contributes to a better AI system—helps me stay motivated and engaged.

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What strategies do you use for effective time management while working independently?

I prioritize tasks based on deadlines and complexity, often creating a daily schedule to keep track of my progress. I use timers for focused work sessions and plan regular reviews to assess how I'm doing. This approach has helped me manage my workload effectively while meeting all expected deadlines.

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What would you do if you encountered ambiguous instructions while annotating data?

If faced with ambiguity, I would first review the provided materials and guidelines thoroughly to find any clues. If I'm still unsure, I would consult with teammates or supervisors to clarify the expectations. Clear communication is vital, especially in cases where data quality is at stake.

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How would you handle feedback on your annotations?

I welcome feedback as an opportunity for growth. I would carefully consider the comments provided, make the necessary changes, and ask questions if there were aspects I didn’t fully understand. This allows me to enhance my skills and adapt to the team’s needs effectively.

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Can you provide an example of a time you improved a process related to language data?

In a previous role, I noticed that the data review process lacked a standardized format, which led to inconsistencies. I initiated a collaborative effort to create a checklist that the entire team could use, streamlining our approach and significantly improving data accuracy and quality.

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What motivates you to work in a data annotation role, particularly in Spanish?

I am deeply motivated by the role language plays in AI and the potential it has to enhance communication across cultures. Working in data annotation allows me to contribute tangibly to developing intelligent systems that understand nuanced language, which I find incredibly rewarding.

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How do you approach tasks that require both analytical thinking and creativity?

I find that mixing analytical thinking with creativity often leads to better outcomes. When tackling tasks, I start with a structured analysis, identifying key components and patterns. Then, I brainstorm innovative ways to address the data while keeping the overall goals in mind. This comprehensive approach helps me deliver valuable insights.

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What techniques do you use to maintain a high level of attention to detail in your work?

To maintain attention to detail, I often take a systematic approach, breaking tasks down into manageable sections. I also employ techniques like double-checking my work and using highlighting tools to ensure that I do not miss crucial details. These methods enable me to uphold the quality standards expected of a Data Annotator.

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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 3, 2024

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