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
Artificial Intelligence • HR Tech • Professional Services • Software
Perform contract drafting, review, redlining, and simulated negotiations while evaluating AI-generated legal responses. Identify contractual risks, assess legal accuracy using structured rubrics, and provide actionable feedback to improve AI systems for contract review. Collaborate with legal, product, engineering, and research teams on datasets, evaluation guidelines, and quality standards.
Top Skills:
Artificial IntelligenceLegal Technology
Artificial Intelligence • Big Data • Logistics • Machine Learning • Software • Transportation
Own the technical direction and end-to-end delivery of a backend engineering team supporting high-volume supply chain visibility platforms. Design distributed microservices, event-driven systems, data models, integrations, and production architecture. Drive engineering standards, reliability, observability, technical debt reduction, risk management, code quality, mentoring, hiring, and cross-functional coordination. Remain hands-on in Java or Go development while partnering with Product and Engineering Managers to deliver complex multi-quarter initiatives.
Top Skills:
AWSCi/CdConfluenceDcsa ApisDockerEdi/EdifactGitGoJavaJIRAKafkaKubernetesOmsOraclePostgresRedisSAPSpring BootSQLTmsWmsX12
Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Conversational AI
Own enterprise customer success across onboarding, adoption, technical enablement, expansion, and advocacy. Act as a technical advisor to developers, architects, and executives; lead demos, architecture discussions, workshops, troubleshooting, executive reviews, and customer visits. Translate customer needs into product feedback, analyze adoption and business KPIs, identify expansion opportunities, and partner with Sales and internal teams. The role requires strong API, AI/ML, customer engagement, communication, and commercial-growth expertise in a fast-moving remote environment.
Top Skills:
Advanced AnalyticsAi/MlAPIsAutomation ToolsCloud InfrastructureScriptingSpeech-To-Text (Stt)Text-To-Speech (Tts)Voice Ai
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
