Mercor

Applied Mathematician

Mercor Germany

Stellenbeschreibung:

About The Job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Mathematics/Statistics Expert Type: Hourly Contractor Compensation: $60–$80/hour Location: Remote Duration: 1–2 months Commitment: 4–6 tasks/week Role Responsibilities Develop challenging problems in Mathematics and Statistics to enhance AI model training.Evaluate the quality and depth of AI-generated content to improve model outputs.Collaborate with AI research teams to refine training data and methodologies.Work independently and asynchronously to meet project deadlines.Ensure high-quality data creation for future AI innovations. Qualifications Must-Have Master's or PhD in Mathematics/Statistics.Undergraduate degree from US/UK/Canada/Western Europe.Graduate degree from a top US/UK/Canada/Western European university.High attention to detail.Exceptional written and verbal communication skills.Excellent proficiency in English. Start Date November; applications reviewed on a rolling basis. Interview Process Complete a short AI interview and form in 20–40 minutes. Compensation & Legal Hourly contractor.Paid weekly via Stripe Connect. Application Process (Takes 20–30 mins to complete) Upload resumeAI interview based on your resumeSubmit form Resources & Support For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcomeFor any help or support, reach out to: [email protected] PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. ,
NOTE / HINWEIS:
EnglishEN: Please refer to Fuchsjobs for the source of your application
DeutschDE: Bitte erwähne Fuchsjobs, als Quelle Deiner Bewerbung

Stelleninformationen

  • Typ:

    Teilzeit
  • Arbeitsmodell:

    Remote
  • Kategorie:

  • Erfahrung:

    Erfahren
  • Arbeitsverhältnis:

    Angestellt
  • Veröffentlichungsdatum:

    26 Nov 2025
  • Standort:

    Germany

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