Mercor · Finance & specialist
Chess Expert (1800+ ELO) — Game Reconstruction & Transcript Correction - review AI outputs in your specialty
Listed on Mercor as “Chess Expert (1800+ ELO) - Game Reconstruction & Transcript Correction”
What this actually is
You bring your specialist expertise to AI evaluation. The shape of the work varies but the pattern is the same: review outputs, rate quality, write prompts, flag errors. The platform title (Chess Expert (1800+ ELO) - Game Reconstruction & Transcript Correction) reflects the rate band and the expertise required, not the day-to-day work.
Can you do this on your visa?
F-2 / F-4 / F-5 / F-6: open. E-1 to E-7: needs concurrent-employment permit. D-2 / D-4 students: S-3 permit, 20 hr/week cap. D-10 / D-8: case by case.
Korean tax on USD income
First 5 years in Korea: foreign-source income only taxed if remitted into Korea. After year 5: worldwide income. Full tax guide.
Original posting from Mercor
We're hiring strong chess players to help build a high-quality chess dataset for an AI research partner:
- Transcript Correction - Watch a video of a strong player narrating a game and fix speech-to-text errors in the commentary transcript (piece names, squares, moves). The form syncs the transcript to the video (click a word to jump there).
- Game Reconstruction (the main task) - Working ONLY from the corrected transcript (no video, no searching for the source game), rebuild the full game on an analysis board (lichess/chess.com) and paste the PGN. Then determine whether the transcript uniquely specifies the complete game; if not, itemize the minimal missing information needed.
You're a fit if you:
• Are rated 1800+ ELO (FIDE or online equivalent)
• Read algebraic notation fluently and are comfortable using an analysis board
• Have a strong ear for spoken chess commentary and careful attention to detail
Quoted from Mercor’s public listing on 2026-08-04. We don’t edit platform copy; honest framing is in the title and the “what this actually is” block above.
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About Mercor
AI-interview-based talent network. One application, voice interview with their AI, then matched to projects across coding, research, and specialist work. Pay scales with track and seniority.
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