At a Glance
- Tasks: Guide teams in enhancing AI models with your advanced Excel skills in finance.
- Company: Join a leading client focused on innovative financial solutions.
- Benefits: Earn $70 - $100 per hour with flexible hours and impactful work.
- Other info: Work remotely, with opportunities for career growth and collaboration.
- Why this job: Make a difference in AI training while showcasing your Excel expertise.
- Qualifications: Advanced Excel skills and finance experience required; AI training experience is a plus.
The predicted salary is between 100 - 100 £ per hour.
- Description
- This role is for one of our clients
Compensation: $70 - $100 per hour
We're seeking advanced Excel experts with deep, hands-on experience in finance
— professionals who live in spreadsheets, building financial models and analyses at a senior, professional level.
Your expertise will directly elevate the quality of the training data behind the most advanced Large Language Models.
This role is for finance professionals who apply advanced Excel — three-statement modeling, valuation, forecasting, and data analysis — in domains such as private equity, investment banking, hedge funds, and equity research
(accounting / FP&A also welcome).
Requirements
Key Responsibilities
- Guide research teams to close knowledge gaps and improve AI model performance on Excel-based tasks within finance.
- Design realistic, domain-relevant Excel tasks drawn from your professional experience, and write accurate, well-structured solutions.
- Evaluate Excel tasks and solutions and provide clear, written feedback.
- Collaborate with other subject matter experts to ensure consistency and accuracy in training data.
- Core Qualifications
- Demonstrated advanced, professional-level Excel expertise , including advanced formulas (e. g., XLOOKUP, INDEX/MATCH, dynamic arrays), Pivot Tables, financial modeling, dashboards, Power Query, Power Pivot, and macros/VBA.
- Hands-on professional experience applying Excel within a finance domain — private equity, investment banking, hedge funds, or equity research
(accounting / FP&A also considered), including work such as three-statement models, LBO/DCF and valuation, and forecasting.
- Demonstrable career progression in your field.
- Prior experience in AI training, human data annotation, or model evaluation — ideally Rubrics-trained on Mercor or a comparable platform — is a strong plus.
- Ability to engage reliably for
40 hours/week during weekdays through the end of September, then 20 hours/week thereafter .
- Verbal and written communication skills, problem-solving skills, and interpersonal skills.
United States–based only.
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