Please submit your CV in English and indicate your level of English proficiency.
Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.
What this opportunity involves
While each project involves unique tasks, contributors may:
Design and evaluate rule application scenarios — reading a compliance artifact (advertisement, disclosure, policy) against a specific regulation and citing the exact subsection that applies or is violated;
Write sanctions alert disposition cases with structured false-positive reasoning documentation and escalation scenarios;
Build compliance testing scenarios: sample selection, test design, findings documentation, and examiner-ready conclusion memos;
Develop policy gap identification cases where an internal policy is silent on a regulatory requirement, contradicts the regulation, or has not been updated to reflect a recent change;
Document all test cases with verified regulatory citations to the specific subsection — never approximated, never fabricated. What we look for
This opportunity is a good fit for professionals with a background in compliance, regulatory affairs, legal services, or broader financial services who are open to part-time, non-permanent projects. Ideally, contributors will have:
Degree in Law, Finance, Economics, Business Administration, Accounting, or any related field;
2+ years of compliance, audit, legal, risk management, or financial services experience;
Current or recent experience in compliance & regulatory roles, financial crimes, or adjacent roles;
Citation discipline as a core habit — able to identify the exact regulatory subsection that applies and flag uncertainty rather than approximate;
CRCM, CAMS, or equivalent local credential is a strong positive signal; former regulatory examiner or inspector status is equally strong;
Strong written English (C1+). How it works
Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid
Project time expectations
For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.
Compensation
On this project, contributors can earn up to $60 per hour equivalent, depending on their level and pace of contribution.
Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.
Mindrift, powered by Toloka, is a platform that connects domain specialists and experts with AI project opportunities from major tech innovators. The company focuses on post-training and evaluation of frontier AI models by creating domain-specific reinforcement learning environments, tasks, and evaluation frameworks. Mindrift enables experts across fields—including mobile development, management consulting, physics research, and other domains—to shape how next-generation generative models learn and perform by converting real-world expertise into structured learning environments. The platform operates on a project-based model, allowing contributors to work on diverse AI initiatives including mobile app development, consulting domain training, physics problem design, and other specialized tasks for leading technology companies.
