Mercor

AI Scientist | Up to $120/hr

Mercor WorkFromHome

Stellenbeschreibung:

About The Job

Position: Machine Learning Researcher

Type: Independent contractor

Compensation: $120/hr

Location: Remote

Commitment: 20–40 hours/week

Responsibilities

  • Compile external ML competitions into challenging tasks that reflect real-world responsibilities.
  • Validate implementations against original plans and mark discrepancies.
  • Evaluate the accuracy and depth of AI-generated content to strengthen reasoning and rigor in model outputs.
  • Provide clear, structured feedback to AI research teams to improve training data quality and downstream performance.
  • Work independently and asynchronously to meet deadlines while improving AI model performance.

Qualifications

Must-Have

  • 5+ years of experience in applied machine learning or a PhD in machine learning or related fields.
  • Strong understanding of ML research methodologies, experimental design, and evaluation practices.
  • Excellent analytical and technical writing skills.

Preferred

  • Experience with reproducibility or benchmarking in ML research.
  • Detail-oriented and able to deliver high-quality, structured feedback independently.

Compensation & Legal

  • Hourly contractor
  • Paid weekly via Stripe Connect

Application Process (Takes 20–30 mins)

  • Submit your resume or CV highlighting relevant ML research or engineering experience.
  • Complete a short AI-based interview and a brief questionnaire about your experience.
  • Selected candidates will receive detailed onboarding materials and access to the project environment.

Resources & Support

  • For details about the interview process and platform information, please visit: talent.docs.mercor.com
  • For any help or support, reach out to:

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

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Stelleninformationen

  • Veröffentlichungsdatum:

    29 Nov 2025
  • Standort:

    WorkFromHome
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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