Part-time contractor role evaluating and training AI for contract review. Draft, review, negotiate, and redline commercial technology agreements; assess AI-generated contract responses; develop evaluation criteria and scoring rubrics; collaborate with product, research, and engineering teams to improve AI legal workflows and identify contractual risks.
This role is for one of our clients
$90 - $130/hourpay
Job Title: Transactional Attorney
Job Type: Contractor
Location: Remote
We are seeking experienced Transactional Attorneys for a part-time opportunity at the forefront of legal AI innovation. This role is ideal for accomplished in-house legal professionals who are passionate about shaping the future of AI-powered legal solutions. Leveraging your expertise in drafting, reviewing, negotiating, and redlining commercial technology agreements, you will help train and evaluate advanced AI systems used in real-world legal workflows.
Your contributions will directly improve how AI models identify contractual risks, interpret legal language, and provide accurate, context-aware recommendations for contract analysis and negotiation.
RequirementsKey Responsibilities
- Perform simulated contract negotiations and redlining exercises across a variety of commercial agreements.
- Review and evaluate AI-generated responses to contract-related scenarios, providing detailed legal feedback to improve model accuracy and reasoning.
- Develop objective evaluation criteria, scoring rubrics, and quality standards for assessing AI performance on contract drafting and negotiation tasks.
- Collaborate with multidisciplinary product, research, and engineering teams to refine AI training data, legal guidelines, and best practices for contract review workflows.
- Apply practical legal judgment to identify contractual risks, ambiguities, and negotiation strategies within complex commercial agreements.
- Contribute subject matter expertise to improve AI systems designed for legal research, contract review, and transactional analysis.
- Juris Doctor (J.D.) from an ABA-accredited law school.
- Active bar membership in at least one U.S. jurisdiction.
- Minimum 3 years of in-house legal experience focused on technology transactions.
- Extensive experience drafting, negotiating, reviewing, and redlining commercial agreements, including Master Services Agreements (MSAs), Non-Disclosure Agreements (NDAs), and Data Processing Agreements (DPAs).
- Excellent written and verbal communication skills with exceptional attention to detail.
- Strong analytical and problem-solving abilities with the capability to translate legal expertise into structured, actionable feedback.
- Demonstrated interest in legal innovation and emerging technologies.
- Experience collaborating with cross-functional teams in fast-paced environments.
- Previous experience working with AI, legal technology platforms, or AI training and evaluation projects.
- Background in a corporate law firm with experience in Mergers & Acquisitions (M&A) or private equity fund formation.
- Familiarity with legal operations, contract lifecycle management (CLM) platforms, or enterprise contract management solutions.
Similar Jobs
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Build and evolve Atlassian’s central Micros platform services, improving reliability, observability, deployment, operations, and developer experience at massive scale. Support the transition from AWS to multi-cloud infrastructure involving GCP and Kubernetes. Collaborate with platform and product teams across Australia and India and contribute to major platform engineering initiatives across Core Engineering.
Top Skills:
AWSCloud InfrastructureGCPKubernetesMicroservicesMulti-CloudPlatform-As-A-Service (Paas)
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Lead a distributed engineering team within Atlassian’s Jira Service Management IT Operations organization. Drive high-quality software delivery, architecture, reliability, and customer-facing product development for large-scale cloud services. Partner with Product and Design on roadmaps and outcomes, remove blockers, establish goals and metrics, and coach engineers and emerging leaders while fostering an inclusive, high-performing culture.
Top Skills:
Agentic WorkflowsAutomated TestingCloud ComputingDistributed SystemsItomItsmJira Service ManagementMicroservicesSaaS
Cloud • Information Technology • Security • Software
Lead complex, cross-functional software engineering initiatives for JumpCloud’s device management platform. Responsibilities include architecture, technical strategy, solution design, development of highly available and performant services, requirements discovery, collaboration with product and UX teams, mentoring engineers, and driving projects across multiple teams. The role requires deep expertise in device management across major operating systems, cloud platforms, distributed systems, microservices, databases, Kubernetes, and CI/CD.
Top Skills:
AndroidApple Push Notification ServiceAWSAzureCi/CdDatabasesDistributed SystemsGCPGithub ActionsGoiOSJavaKubernetesLinuxmacOSMicroservicesSaaSTypescriptWindows
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
