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Data Annotation Specialist - Investment Banking / Private Equity (Part-Time)

Cohere

Data Annotation Specialist - Investment Banking / Private Equity (Part-Time)

Cohere

Canada

·

On-site

·

Contract

·

1w ago

Compensation

CA$62,400 - CA$62,400

Required Skills

Financial analysis

Excel

Financial modelling

Risk analysis

Who are we?

Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.

We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.

Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.

Join us on our mission and shape the future!

Why this role?

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.

Please Note: This is a part-time contract position. We are looking for candidates who are able to commit to 16 hours per week at a $30/hour contract rate. This role is available within Canada only and is BYOD 💻 - Bring Your Own Device (laptop).

As an AI Data Trainer, you will:

  • Evaluate the model’s ability to respond to objective financial queries ( you will not be giving financial advice)

  • 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.

You may be a good fit if you have:

  • 5+ years of industry experience working in equity research, corporate finance, M&A, private equity, or corporate development

  • Financial analysis training and experience preferred

  • CFA is a plus

  • 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

  • You are an expert in Excel and/or VBA

The Candidate Journey:

  • Initial Screening
  • Once you have submitted your application our Talent Team will review your resume and writing samples.
  • Multiple Choice Finance Test
  • A multiple choice test assessing your financial knowledge.
  • Finance/Investment Analysis Written Test
  • This online test will assess your financial/investment analysis skillset, through written and more in-depth questions.
  • Video Interview
  • If selected to move forward, you will have a short video call with a member of our Operations Team!
  • Offer
  • Independent Contractor Agreement

Prospective candidates, please be advised: this role may involve exposure to Not Safe For Work (NSFW) content, including explicit, offensive, or other inappropriate material.

If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply!

We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.

Full-Time Employees at Cohere enjoy these Perks:

🤝 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

✈️ 6 weeks of vacation (30 working days!)

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About Cohere

Cohere

Cohere

Series C

Cohere Inc. is an American-Canada-based international technology company focused on artificial intelligence. Cohere specializes in large language models and AI products for regulated industries, particularly the finance, healthcare, manufacturing, and energy fields, as well as the public sector.

201-500

Employees

Canada

Headquarters

$2.2B

Valuation

Reviews

3.8

45 reviews

Work Life Balance

3.6

Compensation

4.2

Culture

4.0

Career

3.8

Management

3.5

78%

Recommend to a Friend

Pros

Supportive team and management

Competitive compensation and benefits

Good work-life balance and flexible environment

Cons

Room for improvement in processes

Career progression could be clearer

Some organizational bureaucracy

Salary Ranges

0 data points

L2

L3

L4

L5

L6

Senior/L5

L2 · Solution Architect L2

0 reports

$71,230

total / year

Base

$28,492

Stock

$35,615

Bonus

$7,123

$49,861

$92,599

Interview Experience

8 interviews

Difficulty

3.1

/ 5

Duration

14-28 weeks

Offer Rate

25%

Experience

Positive 25%

Neutral 0%

Negative 75%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Take-home Assessment

5

Hiring Manager Interview

6

Final Round Interview

Common Questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design

Past Experience