Generalist (Macbook User)
Mercor
Apply on → Mercor
$50 – $60 per hour
Role Overview:
Mercor is looking for detail-oriented individuals with 2-3 years of experience in STEM, non-STEM fields, or currently enrolled postgrad college students to support a research project with a leading AI lab. You will help benchmark and improve cutting-edge AI models.
Qualifications:
- Required: All experts on this project must have a Macbook device with an ‘M’ series chip to perform tasks on.
- Currently pursuing or recently completed Masters studies, or have 2-3 years of relevant experience + Bachelors from a prestigious institution
- Strong online research and communication skills
- Ability to gather and clearly summarize information from diverse sources
- Excellent written communication skills
- Interdisciplinary degree is a nice to have
- Must have a Macbook with one of the following requirements:
- Confirm you meet requirements: [https://docs.google.com/forms/d/e/1FAIpQLScnoyE_ziVrTFKeZYVMulL595bK_AHHn1QysS887M_hUblvNw/viewform?usp=publish-editor](https://docs.google.com/forms/d/e/1FAIpQLScnoyE_ziVrTFKeZYVMulL595bK_AHHn1QysS887M_hUblvNw/viewform?usp=publish-editor)
- Apple Silicon (ARM) Macs
- M‑series MacBook Pro, or
- MacBook Air models running macOS 15 or higher
Job Details:
- Part-time commitment of approximately 10-20 hours per week
- Responsibilities include creating high-quality research questions, answers, and evaluation materials to train advanced language models
- Clearly structured responsibilities without the high pressure typically found in internships or full-time consulting roles
- Immediate start preferred
Application and Onboarding Process:
- Submit your resume, followed by a brief (15-minute) conversation with our AI interviewer to assess research and reasoning skills
- Complete a brief paid assessment to further evaluate your fit for the role
- You will receive follow-up communication within a few days regarding your application status and next steps
Compensation
- Pay: $50 – $60/hour
- Type: Hourly contract
- Location: Remote
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