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Aligned Labs is seeking 15 talented PhD Statisticians for part-time remote work supporting AI research. Ideal candidates will have a PhD in statistics or data science and 3+ years of relevant experience. This role offers flexible remote projects with competitive compensation, allowing experts to set their own rates.
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This range is provided by Aligned Labs. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
CA$55.00/hr - CA$80.00/hr
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Looking for 15 talented PhD Statisticians for part-time REMOTE work supporting AI research. Projects start at $40-60 USD / hour.
Do you have a PhD in statistics or data science and 3+ years of senior-level experience at a highly reputable company or government organization? Are you looking to supplement your income with high-paying, fully-remote freelance projects at the world's top AI research and frontier model companies?
Join our talented community of statistics experts supporting the world's leading AI companies, and be competitively compensated for your hard-earned skills and insights. Statistics projects start at $40 to $60 USD / hour for newly approved experts and scale upwards of $150 USD / hour for our highest performing experts.
Visit Aligned Lab to apply: https://www.alignedhq.ai/expert-domains/all
About Aligned
At Aligned, we have built a platform that connects the world’s most talented professionals to freelance projects at AI companies in need of their expertise. From doctors and scientists to engineers and business professionals, the Aligned community comprises the top 10% of experts and freelancers in every domain.
Unlike low-skill freelance work on traditional consulting platforms, our community of experts set their own pay and are exclusively matched to the top-paying projects at the world's leading AI research companies.
How it Works
Minimum Qualifications
Join the Aligned community of global professionals and domain experts powering the technology of tomorrow! Learn more and apply here: https://www.alignedhq.ai/expert-domains/all
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