AI Data Trainer, Code Evaluation

Toronto, Ontario, Canada

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Not SpecifiedCompensation

Entry Level & New GradExperience Level

Part TimeJob Type

UnknownVisa

Artificial Intelligence, BiotechnologyIndustries

Requirements

Candidates must have subject matter expertise in software engineering with practical experience, proficient knowledge in Python or JavaScript, and proficient knowledge in SQL. Familiarity with bash/scripting or another object-oriented language is a plus. Strong attention to detail, high tolerance for repetitive work, ability to follow complex instructions independently, superb time management, curiosity about technology, and a reliable laptop and internet connection are also required.

Responsibilities

The AI Data Trainer will label and rank machine learning data, focusing on code-related content. Responsibilities include auditing and correcting text or code-based tasks, performing preference-based tasks to evaluate responses, recommending optimizations for data quality and model performance in coding tasks, and providing feedback to cross-functional team members, especially on coding matters. Candidates must execute tasks with meticulous attention to detail.

Skills

Code Evaluation

Data Labeling

Data Ranking

Data Auditing

Data Correction

Machine Learning

Large Language Models (LLMs)

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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