Experience: 3+ years
Job Type: Full-time (Contractual / Freelancing)
Location: Remote (Candidates from US only)
Required Skills: m&a, drafting contracts, private equity, remote collaboration, multidisciplinay teamwork, capital markets, data privacy
Job Summary:
We are engaging Litigation Associate Attorneys from top-tier US law firms to contribute expertise to a dynamic project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required, your domain knowledge is what matters.
Scope of Work:
- Review, analyze, and provide feedback on complex litigation and transactional documents, including contracts related to M&A, private equity, and capital markets activities.
- Draft sample agreements and legal clauses, leveraging experience with high-value M&A transactions and private equity deals.
- Evaluate legal scenarios and offer structured commentary to inform AI model development in areas such as data privacy and cross-border transactions.
- Collaborate remotely with interdisciplinary teams to provide legal insight and ensure accuracy in simulated legal tasks and scenarios.
- Contribute to the development of legal frameworks and decision rubrics (review rubric experience is a plus, but not required).
- Participate in iterative feedback cycles to refine training data, ensuring legal precision and practical applicability.
Preferred Qualifications:
- JD from a US law school and active bar admission in good standing within the United States.
- Experience at an AmLaw 100 or similarly prestigious law firm, specifically with litigation and complex transactional matters.
- Demonstrated expertise in M&A, private equity, capital markets, contracting, and data privacy.
- Excellent written communication skills and the ability to articulate sophisticated legal reasoning for varied audiences.
- Proven track record of successful remote collaboration and multidisciplinary teamwork.
- Familiarity with developing or applying structured review rubrics is desirable.
- Strong research, analytical, and problem-solving capabilities, with a keen attention to detail in high-stakes legal contexts.