Algorithm Problem Setter (Codeforces/ICPC) - Remote, Freelance
Algorithm Problem Setter (Codeforces/ICPC) - Remote, Freelance is an open role at Mindrift, available remotely, with pay listed as ≈ $90/hr.
Applications open on Mindrift’s own site. How we make money.
About this role
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 We're building competitive-programming problems and their automatic graders (test cases + checkers) used to train advanced AI coding models. You'll create problems, write both correct and deliberately-wrong solutions, and design the tough test cases that catch subtly-broken code. Your work is what makes the training signal trustworthy. To apply, share: your competitive-programming handle(s) + current/peak rating, any problem-setting experience, and IOI/ICPC/olympiad history. What you'll do Write original algorithmic problems — clear statement, sound constraints, an intended solution; Write correct solutions in C++ and Python; Write realistic wrong solutions (common mistakes) to test against; Build and harden test cases: generators, edge cases, stress and "hacking" tests; Write checkers/interactors (testlib) for problems with more than one valid answer; Confirm the quality bar: correct solutions pass, wrong ones fail, within time limits. What we look for Strong competitive programming background, shown by a public profile — a Codeforces rating (see levels below), OR an IOI / ICPC / national-olympiad record; Fluent contest C++ (STL, complexity); comfortable writing Python; Can explain why a solution is wrong and build an input that breaks it; Strong written English (C1+). Levels (by Codeforces rating, or equivalent olympiad achievement): Associate — 1700–2100 (Expert / Candidate Master): easier problems; Expert — 2200–2600 (Master / Grandmaster): harder problems Senior / Reviewer — 2600+ (Int'l Grandmaster) or IOI/ICPC medalist: hardest problems + quality review. Nice to have IOI / ICPC alumni and top competitive programmers especially encouraged to ap
Pay
≈ $90/hr
As listed by Mindrift: “Paid per accepted task. Your rate depends on the qualification tier you reach and how efficiently you complete tasks — up to the equivalent of $90/hr. Because payment is per task, a faster pace raises your effective hourly rate.”
About Mindrift
Mindrift's connection to Toloka: Toloka contributor work migrated to Mindrift. AI training, reasoning, coding, multilingual evaluation
Ownership confidence: Confirmed. See the full network profile →
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Frequently asked questions
How do I apply for the Algorithm Problem Setter (Codeforces/ICPC) - Remote, Freelance role at Mindrift?
Applications go through Mindrift's own portal - HumanSourcer links to the listing and never collects applications or handles hiring. Mindrift's access model is "Open / self-serve" (Open roles / applications). This listing was first seen here on August 25, 2026 and was still live at the last check.
Is the Algorithm Problem Setter (Codeforces/ICPC) - Remote, Freelance role at Mindrift remote?
Yes - Mindrift lists this role as remote.
What does the Algorithm Problem Setter (Codeforces/ICPC) - Remote, Freelance role at Mindrift pay?
Mindrift indicates ≈ $90/hr for this role, but hedges the figure rather than committing to it. Treat it as an indication: HumanSourcer flags hedged pay instead of presenting it as a firm rate, and the listing's own wording is quoted in the Pay section above.
What kind of work is Algorithm Problem Setter (Codeforces/ICPC) - Remote, Freelance?
Coding / software engineering. AI training, reasoning, coding, multilingual evaluation
Is Mindrift a legitimate AI-training platform?
Toloka contributor work migrated to Mindrift - and that relationship is rated "Confirmed" here because it can be checked against mindrift.ai rather than taken on Mindrift's word. Confidence describes how well the ownership is evidenced. It is not a rating of how the platform treats the people who work for it, which no public source covers reliably.
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