Get paid to work on AI projects
Join thousands of professionals working remotely to advance AI systems. Get matched to high-paying contract opportunities that fit your expertise and interests.
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Why experts work with Mercor
Work remotely
Work on your schedule from anywhere you choose.
Earn competitively
Get paid weekly for contributing your expertise.
Advance AI
Help shape technology that will impact millions.
Where experts power AI innovation
Doctors. Lawyers. Engineers. Creators. Operators. Hobbyists. Together, we teach AI what only humans know.
How it works
Get your first offer instantly in 3 easy steps
Physician Talent Network
$110-$250/hr
Machine Learning Engineer Talent Network
$70-$250/hr
Family Medicine / Primary Care Physician/MD (San Francisco based, Talent Network)
$170-$190/hr
Financial Analyst Talent Network
$60-$180/hr
Lawyer Talent Network
$60-$150/hr
Frontend Engineer Talent Network
$70-$150/hr
DevOps / Platform Engineer Talent Network
$70-$150/hr
Backend Engineer Talent Network
$70-$150/hr
Expert resources
View all resourcesDPO vs. RLHF: Comparison and when to use each
What are the differences between DPO vs. RLHF, including how each alignment method works, their costs, performance trade-offs, and when to use each one for LLM training?
What is DPO in AI? Everything you need to know
Learn about direct preference optimization (DPO), how it works, how it compares with RLHF, and when to use it for efficient LLM alignment and fine-tuning.
SFT vs. RLHF: Compare LLM training approaches
Compare SFT vs. RLHF to understand how each LLM training method works, when to use supervised fine-tuning or preference optimization, and how newer approaches like DPO, GRPO, and RFT are reshaping AI alignment.
FAQs
We love that you are curious. For more questions please write to us at [email protected]
Mercor connects professionals to AI training projects.
We partner with leading AI companies to train and evaluate advanced models through human expertise.
AI systems don’t improve on their own. They improve when experts apply judgment, domain knowledge, and professional standards to how models reason and respond. If you have deep expertise in a field, Mercor gives you a way to apply it directly to AI advancement.
This is remote AI training work grounded in your professional background. You apply your expertise to evaluate, improve, and guide large language models.
Each project is different. You can expect to:
- Review LLMs outputs related to your area of expertise
- Create examples that teach models how experts think
- Evaluate quality using clear standards
Share your background and expertise.
- Complete a short AI evaluation
- Get matched: If it’s a fit, our team follows up and connects you to projects aligned with your skills.
- You don’t need any prior AI experience.
The AI interview helps us evaluate expertise at scale. It adapts to your background, asking questions relevant to your field so we can accurately assess your level of knowledge.
Your interview responses are not sold and are not used to train customer AI models.
Compensation depends on your expertise, the complexity of the project and demand for the role.
Projects are structured and clearly scoped. Payment terms are defined upfront.
High-performing experts are invited to ongoing opportunities.
We work with professionals across a wide range of domains. Minimum qualifications typically require undergraduate-level expertise. Many projects require years of professional work experience or an advanced degree in the relevant domain.
Project lengths vary depending on the needs of our customers. The range is weeks to months. Projects can be extended, shortened, or concluded early depending on needs and performance.
Yes. You can activate a referral link from the job listing page and share it directly. If your referral is approved and begins working on a project, you may be eligible for a referral bonus.
We offer projects to experts in many different domains.
Some of these include: