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AI Data Trainer

Alignerr Corp.

Remote

GBP 60,000 - GBP 80,000

Part time

Today
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Job summary

A leading AI consulting firm is looking for a Business Administration (MBA) – AI Data Trainer. In this remote role, you will design complex business problems, create solutions for AI training, and ensure logical consistency in AI outputs. An MBA is essential, alongside strong analytical skills and attention to detail. Join us for competitive compensation and flexible working hours, contributing to innovative AI development. This is a unique opportunity for impactful engagement with cutting-edge technology.

Benefits

Excellent compensation
Location-independent flexibility
High agency and agility
Opportunities for contracting renewals

Qualifications

  • Advanced Degree: MBA from an accredited institution.
  • Domain Expertise: Strong knowledge in Finance, Marketing, Operations, or Strategic Management.
  • No AI experience required.

Responsibilities

  • Design advanced business cases and quantitative challenges.
  • Create rigorous, step-by-step responses for AI training.
  • Evaluate AI-generated business plans for accuracy.
  • Identify and provide feedback on logical reasoning errors.

Skills

Analytical Writing
Attention to Detail

Education

Master of Business Administration (MBA)

Tools

Excel modeling
Tableau
SQL
Job description
Business Administration (MBA) – AI Data Trainer

Location: Remote

About the Job

At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting-edge AI models. You’ll challenge advanced language models on topics such as corporate finance, market strategy, supply chain logistics, and organizational behavior—documenting every failure mode so we can harden model reasoning. Your expertise will ensure that AI can serve as a sophisticated partner for executive decision‑making and business operations.

Organization

Company: Alignerr Position: Business Administration (MBA) – AI Data Trainer Type: Hourly Contract Compensation: $45–$90 /hour Location: Remote Commitment: 10–40 hours/week

What You’ll Do
  • Develop Complex Problems: Design advanced business cases and quantitative challenges across domains like DCF valuation, market entry strategy, operations bottlenecks, and cap table modeling.
  • Author Ground-Truth Solutions: Create rigorous, step‑by‑step responses that include financial statements, marketing frameworks (e.g. 4Ps, 5Cs), and strategic rationales that serve as "golden responses" for AI training.
  • Technical Auditing: Evaluate AI-generated business plans, financial forecasts, and case study analyses for logical consistency, mathematical accuracy, and adherence to professional business standards.
  • ine Reasoning: Identify logical fallacies in AI reasoning—such as ignoring sunk costs, miscalculating WACC, or failing to account for macroeconomic variables—and provide structured feedback.
Requirements
  • Advanced Degree: Master of Business Administration (MBA) from an accredited institution.
  • Domain Expertise: Strong foundational knowledge in at least two core business pillars: Finance, Marketing, Operations, or Strategic Management.
  • Analytical Writing: Ability to synthesize complex data into executive‑style summaries and clear, professional recommendations.
  • Attention to Detail: High level of precision when checking financial formulas, data interpretation, and the structural integrity of business arguments.
  • No AI experience required.
Preferred
  • Prior experience with data annotation, data quality, or evaluation systems.
  • Prior experience in management consulting, investment banking, or corporate strategy.
  • Proficiency in data‑driven decision tools (e.g., Excel modeling, Tableau, or SQL).
Why Join Us
  • Excellent compensation with location‑independent flexibility.
  • Direct engagement with industry‑leading LLMs.
  • Contractor advantages: high agency, agility, and international reach.
  • More opportunities for contracting renewals.
Application Process (Takes 15‑20 min)
  • Submit your resume.
  • Complete a short screening.
  • Project matching and onboarding.

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

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