Up to 30% off — ends 2 Aug
ONLY00h00m00s
Up to 30% off — ends 2 Aug
ONLY00h00m00s
Terac
2 weeks ago
Paid Research Opportunity for STEM PhDs and Postdocs in AI Reasoning Problem Creation Terac
Degree Level
PhD, Postdoc
Field of study
Computer Science
Funding
Full funding availableCountry
-
University
Terac

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.
Apply for this position
Keywords
Suggested positions
About this position
Paid research opportunity for STEM PhDs and postdocs focused on problem creation for AI reasoning. The post shares a Terac opportunity that pays $112 per task and appears to be a flexible, remote-style research gig rather than a traditional university opening.
This opportunity is relevant to candidates with advanced training in STEM fields and strong analytical/problem-design skills. The work is centered on creating problems for AI reasoning, so applicants with backgrounds in computer science, mathematics, statistics, and related STEM areas may find it especially relevant.
Funding: paid per task; the post explicitly mentions $112 per task. No tuition, stipend, or scholarship funding is described.
Eligibility highlights: aimed at PhD and postdoc level researchers in STEM. No specific university, supervisor, deadline, or country restriction is stated in the post.
How to apply: review the Terac link, check the opportunity details, and follow the platform instructions if you meet the profile. The post includes a direct referral link and a LinkedIn short link to the opportunity.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
More information can be found here
Ask ApplyKite AI

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.