Remote worldwide
Posted about 16 hours ago
Design hard, real-world coding tasks used to train AI models. $80–90/task, fully remote.
Parsewave builds coding datasets for AI research labs. We're looking for experienced developers to design and validate complex, terminal-style coding tasks used in training and evaluating AI coding models.
Each task includes a problem description, a working solution (bash script), and automated test validation (pytest). You own the problem end-to-end, from writing the prompt to making sure the tests actually catch wrong answers.
Tasks need to be hard enough that current AI agents fail them. If a senior dev finds it easy, it's probably not good enough.
Good tasks look like real work: debugging a broken pipeline, implementing something non trivial from a spec, handling edge cases that matter in production. The goal is to find the gaps in what models can do and write problems that expose them clearly.
Fully remote, worldwide. No meetings, no timesheets, no minimum hours.
Pick up tasks when it suits you. $80 per accepted task, $90 for excellent ones.
Average task takes about 2 hours.
3+
years of commercial experienceHaskell
intermediate
Erlang
intermediate
Elixir
intermediate
Scala
intermediate
Clojure
intermediate
C#
intermediate
C
intermediate
OCaml
intermediate
English
advanced
Parsewave is a frontier data company based in San Francisco. We build high-quality coding datasets for AI research labs, used in supervised fine-tuning and reinforcement learning to train the next generation of coding models. Our work is fully remote and contributor-driven. No offices, no meetings, no overhead. Just hard problems and good pay.
Compensation
$80 - 90 per day
Role type
Contract
Visa sponsorship
Not provided
Benefits & perks
Flexible Working
100% remote work
$81K - 125K
Full time
Remote
2022-08-20T14:00:12.865Z
$81K - 125K
Full time
Remote
2022-08-20T14:00:12.865Z
$81K - 125K
Full time
Remote
2022-08-20T14:00:12.865Z
Ground Floor, Verse Building, 18 Brunswick Place, London, N1 6DZ
108 E 16th Street, New York, NY 10003
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