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Finance Lecturer (AI Training)

Offre en anglais
  • Vancouver, British Columbia, Canada
  • Télétravail
  • Publié 24 sept. 2026
  • 1 poste

35 $ US–70 $ US / heure

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Type d’emploi
Contrat
Niveau d’expérience
Intermédiaire · 3+ ans
Formation minimale
Maîtrise
Postuler avant le
18 oct. 2026
Langue de l’offre
anglais
Heures de travail
40 heures par semaine
Exigences de lieu
Country, Vancouver, British Columbia, Canada
Niveau d’expérience
Mid-Senior level

Résumé du poste

Review and evaluate finance-related questions and reasoning within AI training datasets to ensure accuracy. Provide structured feedback to improve the quality and clarity of AI-generated financial content.

Détails du poste

About The Role We're looking for finance lecturers and economists to help shape how the next generation of AI understands financial reasoning. Your expertise will directly influence how AI systems explain valuation, risk, market behavior, and economic concepts — making complex finance more accurate and accessible for millions of users. This is a fully remote, flexible contract role powered by Alignerr (by Labelbox), working at the frontier of AI development. Organization: Alignerr (Powered by Labelbox) Type: Hourly / Task-Based Contract Location: Remote Commitment: 10–40 hours/week What You'll Do Review and evaluate finance-related questions, explanations, and reasoning used in AI training datasets Assess the accuracy of financial concepts including valuation, risk analysis, and market behavior Identify common misconceptions and reasoning errors in AI-generated financial content Provide clear, structured feedback to improve the quality and clarity of AI financial reasoning Apply your teaching experience to ensure content is both technically accurate and pedagogically sound Work independently and asynchronously on your own schedule Who You Are 3+ years of experience teaching finance or economics at the postsecondary level Strong command of corporate finance, financial markets, or financial economics Able to clearly evaluate and critique written financial reasoning at scale Detail-oriented, reliable, and comfortable working independently No prior AI experience required — your subject matter expertise is what matters Nice to Have Graduate degree in Finance, Economics, or a related field Industry or applied finance experience (investment banking, asset management, etc.) Familiarity with AI model evaluation or data annotation workflows Why Join Us Work on cutting-edge AI projects with leading research labs and AI companies Fully remote and flexible — work on your own schedule, from anywhere Freelance perks: autonomy, variety, and global collaboration Make a meaningful impact by improving how AI communicates financial knowledge Potential for ongoing work and contract extension

Ce que vous ferez

Review and evaluate finance-related questions and reasoning within AI training datasets to ensure accuracy. Provide structured feedback to improve the quality and clarity of AI-generated financial content.

Exigences

Candidates must have 3+ years of experience teaching finance or economics at the postsecondary level. A strong command of corporate finance and financial markets is required, with a graduate degree preferred.

Avantages

• Autonomy • Variety • Global collaboration • Flexible schedule

Compétences indiquées

  • Évaluation · Souhaitée
  • analysis · Souhaitée
  • Sens de l’organisation · Souhaitée
  • Training · Souhaitée
  • Collaboration · Souhaitée
  • Asset Management · Souhaitée
  • Souci du détail · Souhaitée
  • Detail-oriented · Souhaitée
  • management · Souhaitée
  • Accuracy · Souhaitée
  • Reliable · Souhaitée
  • Flexible · Souhaitée

Autres compétences pertinentes

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

  • Finance
  • Economics
  • Valuation
  • Risk analysis
  • Market behavior
  • Financial reasoning
  • Data annotation
  • Pedagogy
  • Corporate finance
  • Financial markets
  • Financial economics
  • AI model evaluation

Domaines d’emploi

  • Finance & Accounting
  • Education
  • Technology
  • Data & Analytics
  • Science & Research

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