Strategic Project Lead - Legal

Openkrill; United States; Remote; USD 130,000 - 190,000; Full time

Job summary

Appen is seeking a Strategic Project Lead - Legal to run strategic pilots and research projects for legal AI model training and evaluation. You will bridge customer objectives, legal expertise, and Appen's global delivery capability.

You will own frontier legal AI pilots, validate use cases, and shape how case law, contracts, statutes, and regulatory filings inform model training and evaluation while protecting privilege and confidentiality.

Qualifications

• JD or equivalent law degree required.
• 2+ years in private practice, in-house, legal research, or regulatory/compliance work.
• 2+ years leading complex projects and operational workflows.

Responsibilities

• Own the success of frontier legal AI pilots from scope to operationalization.
• Define workflows, expert requirements and quality standards for pilots.
• Move successful pilots into scalable programs and partnerships with researchers and customers.

Skills

Law degree (JD)

Project leadership

Stakeholder management

Legal research

Communication

Education

Juris Doctor (JD)

Tools

Legal research databases

Contract analysis tools

Job description

Appen's Strategic Project Management team is central to the company's growth strategy, partnering with leading AI companies and frontier model developers to deliver the data that makes models work. As Strategic Project Lead - Legal, you will run strategic legal pilots and research projects for legal AI model training and evaluation, from initial scoping through to operationalization. This is a hands‑on role bridging customer objectives, legal expertise, and Appen's global delivery capability.

Your Impact

You will own the success of frontier legal AI pilots, taking emerging use cases to validate projects that meet defined standards for legal quality, feasibility, and cost.

Your judgement will shape how case law, contracts, statutes, regulatory filings, and legal reasoning are used for model training and evaluation, with appropriate consideration for privilege, confidentiality, and jurisdictional requirements.

Across Appen's global delivery organization, you'll establish the workflows, expert requirements, quality standards, and operational blueprint needed to move successful pilots into scalable programs.

Success in this role will create legal AI pilots that meet their defined success criteria, trusted partnerships with Researchers and Customers, and proven approaches that can be operationalized across future legal programs.

What You Bring

• - JD or equivalent law degree, with 2+ years in private practice, in-house, legal research, or regulatory and compliance work.
• - 2+ years leading complex projects, operational workflows, or subject‑matter initiatives.
• - Strong communication and stakeholder‑management skills when working with attorneys, legal experts, researchers, and customers.
• - Comfortable working in a fast‑paced environment.

Nice to Have

• - Experience working with AI/ML companies, AI labs, or data annotation and evaluation projects.
• - Experience managing legal, technical, or data‑intensive projects.
• - Familiarity with legal research, contract analysis, litigation, regulatory/compliance work, or other complex legal workflows.

Why You'll Love Working Here

At Appen, we foster a culture of innovation, collaboration, and excellence. We value curiosity, accountability, and a commitment to delivering the highest quality AI solutions for frontier models.

You'll work on complex challenges that shape the future of AI across industries and geographies, alongside talented people in a culture that values humility over ego. You'll have the flexibility to deliver in a way that works for you and your team, supported by tools, resources, and development opportunities to continue to build your capability over time.

About AppenAppen has been a leader in AI training data for over 30 years. We specialise in human generated data to train, fine tune, and evaluate models across generative AI, large language models, computer vision, and speech recognition. Our AI assisted data annotation platform and global crowd of more than 1 million contributors in over 200 countries support model pre training, supervised fine tuning, evaluation and benchmarking, safety and red teaming, and multilingual global expansion.