Mercor

Policy Analyst | Remote Up to $60/hr

Mercor Berlin

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: Public Policy and Language Specialist Type: Contract Compensation: $40–$60/hour Location: Remote Duration: 2 months Commitment: 20+ hours/week Role Responsibilities Translate, adapt, and synthesize complex policy frameworks into clear, structured rubrics for AI training.Write fluently in both German and English, ensuring accurate terminology and nuanced expression across languages.Provide cultural and policy insights unique to the public in Germany.Work closely with reviewers and peers to refine content.Contribute to AI model training, evaluation, and improvement. Qualifications Must-Have Native-level fluency in German with strong written and spoken English.Degree in policy, political science, sociology, or a similar field.2–6+ years of experience in politics, public policy, think tanks, etc.Excellent writing, analytical, and communication skills. Experience in policy writing, instructional design, or academic publishing. Preferred Experience with grading, instructional design, or rubric development.Familiarity with generative AI models or machine learning concepts. 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:

    03 Nov 2025
  • Standort:

    Berlin

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