Cohere

AI Data Trainer - Najdi Arabic, Gulf Arabic, Moroccan Arabic Language Annotation (Part-Time)

Toronto, Ontario, Canada

Not SpecifiedCompensation
Entry Level & New GradExperience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Data Labeling & AnnotationIndustries

Requirements

Candidates should possess native or near-native proficiency in Arabic, specifically Najdi Arabic, Gulf Arabic, or Moroccan Arabic, and demonstrate exceptional Modern Standard Arabic writing and translation skills. Prior experience in data labeling or similar tasks is beneficial, and a commitment to 16 hours per week at a $30/hour contract rate is required.

Responsibilities

As an AI Data Trainer, you will label and rank machine learning data, ensuring data integrity and quality; audit and correct any inaccuracies in language data, 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 best conform to the style guide; recommend optimizations for improving data quality and model performance in language tasks; provide feedback to cross-functional team members on language-related matters, and maintain meticulous attention to detail while performing repetitive and precise tasks.

Skills

Arabic
Najdi Arabic
Gulf Arabic
Moroccan Arabic
Modern Standard Arabic
Translation
Data Labeling
Data Auditing
Text-based Tasks
Attention to Detail
Repetitive Task Performance
Feedback and Collaboration

Cohere

Provides NLP tools and LLMs via API

About Cohere

Cohere provides advanced Natural Language Processing (NLP) tools and Large Language Models (LLMs) through a user-friendly API. Their services cater to a wide range of clients, including businesses that want to improve their content generation, summarization, and search functions. Cohere's business model focuses on offering scalable and affordable generative AI tools, generating revenue by granting API access to pre-trained models that can handle tasks like text classification, sentiment analysis, and semantic search in multiple languages. The platform is customizable, enabling businesses to create smarter and faster solutions. With multilingual support, Cohere effectively addresses language barriers, making it suitable for international use.

Key Metrics

Toronto, CanadaHeadquarters
2019Year Founded
$914.4MTotal Funding
SERIES_DCompany Stage
AI & Machine LearningIndustries
501-1,000Employees

Risks

Competitors like Google and Microsoft may overshadow Cohere with seamless enterprise system integration.
Reliance on Nvidia chips poses risks if supply chain issues arise or strategic focus shifts.
High cost of AI data center could strain financial resources if government funding is delayed.

Differentiation

Cohere's North platform outperforms Microsoft Copilot and Google Vertex AI in enterprise functions.
Rerank 3.5 model processes queries in over 100 languages, enhancing multilingual search capabilities.
Command R7B model excels in RAG, math, and coding, outperforming competitors like Google's Gemma.

Upsides

Cohere's AI data center project positions it as a key player in Canadian AI.
North platform offers secure AI deployment for regulated industries, enhancing privacy-focused enterprise solutions.
Cohere's multilingual support breaks language barriers, expanding its global market reach.

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