Part-Time AI Researcher for Benchmarking (MacBook Required)

Mercor

Greater London

On-site

GBP 21,000 - 34,000

Part time

14 days+
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Job summary

Mercor is seeking detail-oriented individuals to support a research project with a leading AI lab. You will help benchmark and improve cutting-edge AI models while working part-time, with responsibilities centered on creating high-quality research materials and AI evaluation datasets.

This role is suitable for those with 2-3 years of experience in STEM or related fields, or current postgraduate students, and requires a MacBook with an M-series chip.

Qualifications

  • 2-3 years of experience in STEM or non-STEM fields or currently enrolled postgraduate students
  • Masters studies pursued or completed or 2-3 years of relevant experience + Bachelors from a prestigious institution
  • Strong online research and communication skills
  • Ability to gather and summarize information from diverse sources
  • Excellent written communication skills
  • Interdisciplinary degree is a nice-to-have
  • Must have a MacBook with Apple Silicon (ARM) or M-series MacBook Pro, or MacBook Air models running macOS 15 or higher

Responsibilities

  • Create high-quality research questions, answers, and evaluation materials to train advanced language models
  • Contribute to benchmarking and improvement of cutting-edge AI models
  • Work on structured responsibilities with a balanced internship-style workload
  • Support immediate start and flexible part-time scheduling with around 10-20 hours per week

Skills

Online research
Communication
Written communication
Summarization

Education

Masters studies
Bachelors from a prestigious institution

Tools

MacBook (M-series) hardware

Job description

Mercor is seeking detail-oriented individuals to support a research project with a leading AI lab. You will help benchmark and improve cutting-edge AI models while working part-time, with responsibilities centered on creating high-quality research materials and AI evaluation datasets.

This role is suitable for those with 2-3 years of experience in STEM or related fields, or current postgraduate students, and requires a MacBook with an M-series chip.

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