AI Data Trainer, Modern Standard Arabic

Toronto, Ontario, Canada

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Not SpecifiedCompensation

Entry Level & New GradExperience Level

Part TimeJob Type

NoVisa

Artificial Intelligence, AI & Machine Learning, BiotechnologyIndustries

Requirements

Candidates must have native or near-native proficiency in Arabic and excellent command of English, with strong reading and writing skills. Basic familiarity with JSON/TSV/CSV/Markdown data manipulation is required, along with strong attention to detail and a high tolerance for repetitive work. The ability to follow complex instructions, work independently, and manage time effectively is essential, as is a curiosity about technology and a reliable laptop and internet connection.

Responsibilities

Responsibilities include accurately labeling and ranking machine learning data, scrutinizing and rectifying inaccuracies in various data formats, and completing text-based and preference-based tasks in Modern Standard Arabic. Trainers will also identify opportunities for improving data quality and model performance, provide feedback to team members, and meticulously execute repetitive and precise tasks.

Skills

Modern Standard Arabic

Data Labeling

Data Ranking

Data Auditing

Data Correction

Text Data

Image Data

JSON

TSV

CSV

Markdown

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.

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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