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Data Annotation Specialist, Hindi Writer/Translator

Work from home Full-time role Hiring

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! 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 Hindi Writing, Translation, and Data Manipulation skill. Please Note: This is a part-time independent contractor position available within Canada. We seek candidates who are able to commit to 16 hours per week minimum at a 30 CAD/hour contract rate. This role is BYOD - Bring Your Own Device (laptop). Remote work within Canada. 12 month contract. Performance incentives included!

Responsibilities

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

Requirements

  • Language Proficiency: Native or near-native proficiency in Hindi; 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.

Benefits

  • 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 up to 6 months
  • 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, London and Paris, as well as a co-working stipend
  • 6 weeks of vacation (30 working days!)

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