Lead Counsel
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A strong candidate brings hands on experience negotiating data agreements, a working grasp of privacy rules such as GDPR, and the ability to advise product and engineering teams in plain terms.
At a company building reinforcement learning environments from real company data, the legal questions around what data can be used and how it is handled sit close to the core product.
How it fits the AI era AI raises the stakes on data provenance, permitted use and privacy, so this kind of role shifts toward shaping rules early in product design rather than reviewing finished deals.
Much of the drafting and routine review can be assisted by tools, which frees time for judgment on risk, negotiation and advising teams.
The human core stays in interpreting ambiguous rules, weighing tradeoffs and building trust with partners and regulators.
How it builds AI experience Working here would build practical AI experience in data licensing for model training, privacy by design and the legal questions that come with training and evaluating agents on real company data.
That grounding is hard to get from general legal work and is increasingly sought after.
It can be built by studying how training data is sourced and governed, and by getting close to the product and engineering side of data deals.
Worth showing Privacy compliance GDPR Advising product teams Data rights judgment This is our own read, written from the employer's posting and the company's Spotlight.
The employer's posting is the source of truth for the role. xwjxdcb
About Ooak Data Ooak Data builds reinforcement learning environments from real company data so AI agents can be trained and evaluated on expert-level tasks, per the company.
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