About The Position
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! 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.
Requirements
- Native or near-native proficiency in Modern Standard Arabic (MSA); excellent command over English.
- Expert reading and writing skills - which you are ready to prove on our written test.
- Basic familiarity with JSON/TSV/CSV/Markdown data manipulation.
- 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.
Responsibilities
- Accurately label and rank machine learning data with advanced proficiency in Modern Standard Arabic (MSA), ensuring data integrity and quality.
- Scrutinize and rectify any inaccuracies in language data (may include text, image, JSON, TSV/CSV, Markdown), maintaining the highest standard of data accuracy.
- Efficiently complete reading and text-based assignments, with high attention to detail.
- Evaluate and complete tasks, assessing which responses in Modern Standard Arabic (MSA) best conform to project guidelines.
- Identify and suggest opportunities for improving data quality and model performance in Modern Standard Arabic (MSA) language tasks.
- Collaborate and communicate effectively, providing feedback to cross-functional team members, particularly on Modern Standard Arabic (MSA) language-related matters.
- Maintain meticulous attention to detail while performing repetitive and precise tasks, particularly when working with language data.
Benefits
- Performance incentives included!
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What This Job Offers
Job Type
Part-time
Career Level
Entry Level
Education Level
No Education Listed
