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$140k – $200k per year
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Remote (United Kingdom)
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Senior
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Weekday is an Indian recruitment company that sources software engineers through referrals from other engineers rather than through job advertisements or agency databases. Its model pays working engineers to vouch for former colleagues they rate, turning informal knowledge about who is genuinely good into a searchable candidate pool that companies can hire from. Based in Bengaluru and backed by Y Combinator, the platform has layered AI screening and outbound sourcing on top of that referral network, and sells to startups and technology companies hiring in the Indian market.

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), PivotTables, 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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