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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. This role will have you focus on financial modelling and finance-based questions. You will teach the Cohere model how to perform across a variety of different functions and logic.
Job Responsibility:
Evaluate the model’s ability to respond to objective financial queries
Write financial prompts along with verified information to evaluate the accuracy of the model’s responses
Label, proofread, and improve machine-written and human-written financial outputs
Follow our style guide, and make recommendations on unique situations that fall outside of its scope
Evaluating financial models in excel
Requirements:
5+ years of industry experience working in equity research, corporate finance, M&A, private equity, or corporate development
Financial analysis training and experience
An education background in finance (Bachelors, Masters or similar)
Experience interpreting complex financial statements, earning decks, charts and graphs
Experience with preparing and understanding financial statements, key metrics, business acumen
Experience with risk analysis processes
Experience with financial modelling/analysis that informs strategic decision-making
Expert in Excel and/or VBA
Nice to have:
CFA is a plus
What we offer:
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