Braintrust

Biology Experts - (Freelance, Remote, 20+ openings)

Braintrust Remote

Stellenbeschreibung:

Job Description This project involves reviewing Al-generated responses, evaluating reasoning quality and step-by-step problem-solving, and providing expert feedback that helps models produce answers that are accurate, logical, and clearly explained. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in methodology or conceptual understanding; fact-check biological information; write high-quality biological explanations and model solutions that demonstrate correct methods; and rate and compare multiple Al responses based on biological correctness and reasoning quality. Compensation Compensation is competitive and varies based on education level, institution, and prior experience. Hiring Profile You hold (or are pursuing) a BS, MS, or PhD in Biology or a related field. Expert at fact-checking information using public sources across multiple domains. You communicate physics clearly and turn advanced theory into real-world solutions. English proficiency C1 and above with excellent writing skills. Background in research, analytical writing, debate, programming, or physics is preferred. Bonus: Data labeling, RLHF, or Al model evaluation experience. Application & Onboarding Process Apply via partner site - Braintrust will send you an email with detailed instructions. Qualification exam (1-2 hours): evaluates your role-specific expertise. Compensation provided upon passing. Project exam (1-2 hours): evaluates your adherence to project guidelines and ability to produce physics-specific deliverables. Compensation provided upon passing. Commitment We expect a minimum of 17-20 hours per week, however considering the project scope and timelines the preferred and recommended commitment would be 8 hours/day.
NOTE / HINWEIS:
EnglishEN: Please refer to Fuchsjobs for the source of your application
DeutschDE: Bitte erwähne Fuchsjobs, als Quelle Deiner Bewerbung

Stelleninformationen

  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Remote
  • Kategorie:

  • Erfahrung:

    Erfahren
  • Arbeitsverhältnis:

    Angestellt
  • Veröffentlichungsdatum:

    08 Nov 2025
  • Standort:

    Remote

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