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Private Equity Analyst - AI Trainer

$50-60/hr•Full-timeRemote

location_on880 P, 880, P Street Northwest, Shaw, Logan Circle/Shaw, Ward 2, Washington, District of Columbia, 20001, United States

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Job Description

DataAnnotation is committed to creating high-quality AI. We are looking for a Private Equity Analyst to join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part‑time alongside a current position, pursue it full‑time, or engage periodically as a flexible professional opportunity.

We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision‑making.

We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you will leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work. You will push the models with complex, real‑world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t. You will share clear, structured feedback to help make each new version of the AI smarter and more reliable.

Work location

Work model: Remote

880 P, 880, P Street Northwest, Shaw, Logan Circle/Shaw, Ward 2, Washington, District of Columbia, 20001, United States

Washington, District of Columbia

Open in Google Maps(38.90913, -77.02370)

Key Responsibilities

  • check_circleCheck the reasoning and accuracy of AI Assistant work using professional finance expertise
  • check_circleGive AI chatbots diverse and complex problems to evaluate their outputs
  • check_circleEvaluate the quality produced by AI models for correctness and performance
  • check_circleReview and improve AI Assistant answers regarding macro trends, corporate finance, and capital markets
  • check_circlePush models with complex, real-world scenarios and edge cases to test reasoning capabilities
  • check_circleShare clear, structured feedback to enhance AI model intelligence and reliability

Requirements

  • verifiedFluency in English (native or bilingual level)
  • verifiedProficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management
  • verifiedA current, in progress, or completed Masters and/or PhD is preferred but not required
  • verifiedOnly applicants in United States will be considered for this role

Benefits & Perks

check_circleRemote work with flexible schedulecheck_circleChoice of projects to work on

Skills, education and keywords

Skills: financial analysis, financial modeling, data analysis, english.

Education: Master's or PhD in finance-related discipline preferred; Master's or PhD in finance-related discipline preferred.

Frequently asked questions about Private Equity Analyst - AI Trainer at DataAnnotation

What does a Private Equity Analyst - AI Trainer at DataAnnotation do?expand_more
In this Private Equity Analyst - AI Trainer at DataAnnotation role, you will check the reasoning and accuracy of ai assistant work using professional finance expertise; give ai chatbots diverse and complex problems to evaluate their outputs; evaluate the quality produced by ai models for correctness and performance; and review and improve ai assistant answers regarding macro trends, corporate finance, and capital markets.
What are the requirements for this Private Equity Analyst - AI Trainer role?expand_more
To qualify for the Private Equity Analyst - AI Trainer at DataAnnotation position, applicants should have: Fluency in English (native or bilingual level); Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management; A current, in progress, or completed Masters and/or PhD is preferred but not required; and Only applicants in United States will be considered for this role.
What is the salary range for Private Equity Analyst - AI Trainer at DataAnnotation?expand_more
The advertised salary range for Private Equity Analyst - AI Trainer at DataAnnotation is $50-60/hr.
Where is the Private Equity Analyst - AI Trainer role at DataAnnotation located?expand_more
Private Equity Analyst - AI Trainer at DataAnnotation is based in 880 P, 880, P Street Northwest, Shaw, Logan Circle/Shaw, Ward 2, Washington, District of Columbia, 20001, United States. This is a remote role.
Is this Private Equity Analyst - AI Trainer job remote, hybrid, or on-site?expand_more
DataAnnotation has listed this Private Equity Analyst - AI Trainer role as remote.
How much experience is required for this Private Equity Analyst - AI Trainer role?expand_more
Candidates for Private Equity Analyst - AI Trainer at DataAnnotation should have mid level.
What skills do you need for the Private Equity Analyst - AI Trainer role at DataAnnotation?expand_more
Key skills for Private Equity Analyst - AI Trainer at DataAnnotation include financial analysis; financial modeling; data analysis; and english.
What education is required for Private Equity Analyst - AI Trainer at DataAnnotation?expand_more
Educational requirements for this role: Master's or PhD in finance-related discipline preferred; and Master's or PhD in finance-related discipline preferred.
What category does the Private Equity Analyst - AI Trainer role belong to?expand_more
Private Equity Analyst - AI Trainer at DataAnnotation is part of the Accounting & Finance job category on Recrutus.