20 hours ago

AI Data Trainer

Alignerr

Hybrid
Contractor
$150,000
Hybrid

Job Overview

Job TitleAI Data Trainer
Job TypeContractor
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$150,000
LocationHybrid

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Job Description

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 like 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 & Role Details

  • Organization: Alignerr
  • Position: 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.
  • Refine Reasoning: Identify logical fallacies in AI reasoning—such as ignoring sunk costs, miscalculating weighted average cost of capital (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: The 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

The application process takes approximately 15-20 minutes and involves:

  • 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.

Key skills/competency

  • AI training
  • Business administration
  • Corporate finance
  • Market strategy
  • Supply chain logistics
  • Organizational behavior
  • DCF valuation
  • Financial modeling
  • Strategic management
  • Data analysis

Tags:

AI Data Trainer
AI training
business case development
financial modeling
market strategy
operational analysis
strategic management
data evaluation
analytical writing
critical thinking
feedback provision
Excel
Tableau
SQL
Large Language Models
AI

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How to Get Hired at Alignerr

  • Research Alignerr's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
  • Tailor your MBA resume: Highlight finance, marketing, operations, or strategy expertise specific to Alignerr's needs.
  • Showcase analytical writing: Prepare examples demonstrating your ability to synthesize complex business data.
  • Prepare for case studies: Practice solving business problems relevant to corporate finance or market strategy.
  • Emphasize attention to detail: Demonstrate precision in financial analysis and critical evaluation during interviews.

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