2 дня назад
Software Repository Licensor (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Repository Licensor (AI): Connecting original software repositories to a platform for evaluation and potential non-exclusive licensing for AI training with an accent on source-code and Git-history analysis. Focus on verifying repository ownership, removing unauthorized third-party material, meeting licensing requirements, and improving codebases based on quality feedback.
Location: Remote from Canada, the United States, Mexico, Costa Rica, or Peru
Compensation: $100 per 1 million tokens of source code and $40 per 1 million tokens of Git history for standard non-exclusive licensing.
Company
Boutique consultancy specializing in IT professional services and engineering talent solutions.
What you will do
- Connect existing Git repositories to the platform for evaluation.
- Select repositories for potential licensing and review token-volume breakdowns for source code and Git history.
- Review estimated licensing values and quality feedback.
- Improve repositories based on recommendations and resubmit them for evaluation.
- Select qualifying repositories for AI-training licensing and receive compensation when the code is used.
Requirements
- Own or control the licensing rights to original code repositories and be authorized to license them for AI training.
- Be able to verify repository ownership and relevant licensing rights if requested.
- Submit meaningful original software-development work.
- Have the authority to connect and submit repositories for analysis.
- Ensure repositories do not contain third-party material that cannot be sublicensed.
- Meet the platform's quality and technical requirements before licensing.
Culture & Benefits
- Remote participation from the listed countries.
- Non-exclusive licensing allows repository owners to choose which qualifying codebases to make available.
- Repository-level evaluation provides token-volume details, estimated licensing value, and quality feedback before submission.
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