AI Data Trainer, Finance

Canada

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Not SpecifiedCompensation

Entry Level & New GradExperience Level

Part TimeJob Type

NoVisa

Artificial Intelligence, Finance, BiotechnologyIndustries

Requirements

Candidates must have at least 2 years of industry experience in the finance sector and an educational background in finance, such as a Bachelor's or Master's degree. Experience with financial statements, key metrics, business acumen, risk analysis, and financial modeling for strategic decision-making is required. Proficiency in Excel and/or VBA is also necessary. The role is a part-time independent contractor position requiring 16 hours per week with BYOD (Bring Your Own Device).

Responsibilities

The AI Data Trainer will evaluate the model's ability to respond to financial queries, write prompts with verified information to assess model accuracy, and label, proofread, and improve financial outputs. They will also follow and recommend updates to the style guide for unique situations.

Skills

Financial modeling

Finance-based questions

Data labeling

Data ranking

Data auditing

Text correction

Large Language Models (LLMs)

AI model evaluation

Communication

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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