Data Quality Specialist - Italian Translator (Part-Time) at Cohere
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Who are we?
Cohere is focused on building and deploying large language model (LLM) AI into enterprises in a safe and responsible way that drives human productivity, and creates magical new ways to interact with technology and real business value. We’re a team of highly motivated and experienced engineers, innovators, and disruptors looking to change the face of technology.
Our goals are ambitious, but also concrete and practical. Cohere wants to fundamentally change how businesses operate, making everyone more productive and able to focus on doing better what they do best. Every day, our team breaks new ground, as we build transformational AI technology and products for enterprise and developers to harness the power of LLMs.
Cohere was founded by three global leaders in AI development, including our CEO, Aidan Gomez, who co-created the Transformer, which makes LLMs possible. Collectively, we're driven by the belief that our technology has the potential to revolutionize the way enterprises, their employees, and customers engage with technology through language.
Cohere’s broader research team is world-renowned, having contributed to the development of sentence transformers for semantic search, dynamic adversarial data collection and red teaming, and retrieval augmented generation, often referred to as “RAG,” among other technological breakthroughs.
We have been deliberate in assembling a team of operational leaders with industry-leading experience, with backgrounds working at the most sophisticated, demanding, and respected enterprises in the world. Cohere’s operational leaders have built, scaled, and led multi-billion product lines and businesses at Google, Apple, Rakuten, YouTube, AWS, and Cisco.
The Cohere team is a collective from all walks of life, from people who left college to start businesses, to some of the most experienced people from globally renowned companies. We believe a diverse team is the key to a safer, more responsible technology, and that different experiences and backgrounds enable us to tackle problems from all angles and avoid blindspots.
There’s no better time to play a role in defining the future of AI, and its impact on the world.
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 Italian writing and translation.
Please Note: This is a part-time independent contractor position. We are looking for candidates who are able to commit to 12 hours minimum per week at a $30/hour contract rate. This role is BYOD đź’» - Bring Your Own Device (laptop). Performance incentives included!Â
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!Â
- 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
The Candidate Journey:
- Initial Screening -Â Once you have submitted your application our Talent Team will review your resume and writing samples.
- Virtual Meet & Greet -Â If selected to move forward, you will have a short video call with a member of our Annotation Army!
- Practical Assessment -Â 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.
- Offer -Â Independent Contractor Agreement
Prospective candidates, please be advised: this role involves working with human generated and model generated tasks may involve exposure to not safe for work (NSFW) text content as part of data annotation tasks, including explicit, offensive, or other inappropriate material.
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 environmentÂ
🧑‍💻 Work with cutting-edge AI technology
🪴 A vibrant & central location
🥨 A great selection of office snacks
🏆 Performance-based incentives