Create realistic enterprise legal scenarios (in-house counsel, regulatory/compliance, corporate transactions, litigation), author high-quality reference responses and criterion-based evaluation rubrics, review for legal accuracy and relevance, and translate complex legal judgment into objective evaluation standards aligned with frameworks like ERM/COSO and regulations such as FCPA, SOX, GDPR, and HIPAA.
This role is for one of our clients
Compensation: $110-$150 per hour
We are seeking experienced legal professionals to contribute to the development of advanced evaluation tasks for AI systems operating within complex enterprise and Fortune 500 legal environments.
The work is designed around the regulatory complexity, transaction scale, compliance requirements, and risk considerations faced by large public companies. As a Law Expert, you will create realistic enterprise legal scenarios, develop high-quality reference responses, and build detailed evaluation rubrics that distinguish sophisticated legal reasoning from generic or surface-level answers.
RequirementsKey Responsibilities
- Develop realistic enterprise legal scenarios covering:
- In-house counsel matters
- Regulatory and compliance issues
- Corporate and transactional work
- Litigation and dispute resolution
- Create scenarios grounded in major enterprise compliance frameworks, including:
- FCPA
- SOX
- GDPR
- HIPAA
- Sector-specific regulations across banking, healthcare, pharmaceuticals, and insurance
- Develop tasks involving enterprise-scale commercial contracting, including:
- Master Services Agreements (MSAs)
- Statements of Work (SOWs)
- Data Processing Agreements (DPAs)
- Licensing agreements
- Build M&A-focused legal diligence scenarios relevant to large corporate transactions.
- Develop enterprise risk-management scenarios aligned with ERM and COSO frameworks.
- Create board-level legal and risk reporting scenarios.
- Develop investigation and compliance scenarios for highly regulated industries.
- Author detailed, criterion-based evaluation rubrics reflecting the judgment and standards expected from senior enterprise legal professionals.
- Review reference work and evaluation criteria to ensure legal accuracy, practical relevance, and consistency.
- Translate complex legal judgment into clear and objective evaluation standards.
- 2+ years of relevant legal experience as:
- In-house counsel at a Fortune 500 or large public company, or
- Partner or senior associate at a leading law firm representing major corporate clients.
- Strong expertise in one or more enterprise legal practice areas, including:
- M&A
- Securities
- Regulatory and compliance
- Employment law
- Intellectual property
- Privacy and data protection
- Commercial contracting
- Experience handling matters involving large organizations, complex regulatory environments, or high-value transactions.
- Familiarity with Contract Lifecycle Management (CLM) platforms such as Ironclad, Agiloft, or Icertis.
- Experience with enterprise Governance, Risk, and Compliance (GRC) platforms and workflows is preferred.
- Juris Doctor (JD) or equivalent legal qualification.
- Active admission to at least one applicable bar or legal regulatory body.
- Prior experience creating legal training materials, assessment content, evaluation rubrics, examinations, or professional-development resources is a plus.
- Excellent written communication and the ability to articulate nuanced legal reasoning clearly and precisely.
- Hourly Rate: $110–$150 per hour, based on demonstrated expertise and relevant experience.
- Minimum Commitment: 20 hours per week.
- Work Arrangement: Fully Remote
- Engagement Type: Independent Contractor
- Initial onboarding includes a paid calibration program designed to familiarize contributors with the evaluation standards and quality expectations.
- High-performing contributors may progress into reviewer, lead, and domain SME positions, with opportunities for increased rates and responsibility.
- Projects may be extended, shortened, or concluded early depending on project requirements and performance.
- The engagement will not require access to confidential or proprietary information belonging to any employer, client, or institution.
- Payments are made weekly based on services rendered through available payment platforms.
- H-1B and STEM OPT candidates are not currently supported.
We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
Similar Jobs
Fintech • HR Tech
Own CX data infrastructure, including pipelines, data models, governance, monitoring systems, and Streamlit dashboards. Apply advanced statistics and AI-assisted anomaly detection to identify customer experience opportunities and performance issues. Partner with CX leaders, data science, engineering, and Salesforce teams to define metrics, answer causal questions, and guide operational decisions. Establish data quality standards, validate AI-generated outputs, communicate insights clearly, and mentor data practitioners.
Top Skills:
DatabricksDbtPythonSalesforceSnowflakeSQLStreamlit
.png)
Consumer Web • eCommerce • Machine Learning • Software • Sports • Analytics
Manage marketplace business operations and day-to-day functions while delivering strategic transformation projects. Build scalable systems to replace manual processes, establish operational rigor across teams, oversee billing and fulfillment programs for key accounts, and use AI to automate workflows. The role requires strong organization, analytical problem-solving, project management, communication, and cross-functional collaboration skills.
Top Skills:
AI
Artificial Intelligence • Consumer Web • Logistics
Owns JunkRabbit’s end-to-end customer experience and operating systems. Responsibilities include improving intake, quoting, booking, issue resolution, and service metrics; designing workflows, automation, tooling, and SOPs; acquiring, onboarding, and retaining independent haulers; and leading market launches. The COO will personally handle customer calls, scope complex jobs, onboard partners, analyze operating metrics, and collaborate with engineering and investors in a fast-growing startup environment.
Top Skills:
AIAutomationDynamic Pricing SystemsInternal Tooling
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
