Weekday, Inc. Logo

Weekday, Inc.

Applied Legal Benchmark Specialist

Posted One Month Ago
Be an Early Applicant
Remote
Hiring Remotely in United States
83-105 Hourly
Senior level
Remote
Hiring Remotely in United States
83-105 Hourly
Senior level
Author and verify rigorous multiple-choice legal assessment items for AI benchmarks across multiple legal specialties. Create clear, self-contained questions with one correct answer and nine plausible distractors, classify difficulty, provide structured solution explanations and references, and review/edit questions for legal accuracy and clarity. Work remotely, asynchronously, as an independent contractor, committing 10+ hours weekly.
The summary above was generated by AI

This role is for one of our clients

Compensation: $83-$105 per hour

We are seeking experienced legal professionals to author and review high-quality academic assessment content for an AI research initiative. In this role, you will contribute your legal expertise to the development of rigorous evaluation benchmarks designed to assess how effectively AI systems understand and reason about complex legal concepts.

You may contribute through one of two task types:

Question Authoring: Create original, challenging multiple-choice questions within your area of legal expertise, assess their difficulty, and submit them for quality review.

Question Verification: Review existing questions for legal accuracy, clarity, completeness, and rigor. Make necessary edits, evaluate difficulty, and document the reasoning behind any changes.


RequirementsLaw Domains Covered

Opportunities span a broad range of legal specialties, including:

  • Intellectual Property, Privacy & Technology
  • Regulatory & Government Affairs
  • Securities & Capital Markets
  • Financial Regulation & Compliance
  • Private Equity
  • M&A & Transaction Structuring
  • Antitrust, Merger Control & Competition
  • Healthcare, Life Sciences & Pharmaceuticals
  • Environmental, Energy & ESG/Climate Law
Key Responsibilities
  • Develop original legal questions that assess deep conceptual understanding, analytical ability, and legal reasoning rather than surface-level recall.
  • Ensure every question is clear, unambiguous, self-contained, and sufficiently detailed to support a definitive answer.
  • Classify questions by difficulty level: Medium (introductory undergraduate), Hard (advanced undergraduate), or Expert (postgraduate level and above).
  • Provide one correct answer along with nine plausible but subtly incorrect alternatives designed to challenge advanced legal reasoning.
  • Develop concise, logically structured solution explanations that demonstrate the appropriate legal reasoning process.
  • Provide 1–5 credible academic or professional references for each question, drawing from reputable legal publications, academic sources, case law, statutes, and legal repositories.
  • For verification assignments, identify issues involving legal accuracy, clarity, completeness, precision, or solvability and clearly explain any recommended revisions.
  • Apply consistent quality standards across questions and contribute to the development of reliable, gold-standard legal evaluation benchmarks.
Ideal Qualifications
  • JD, LLM, SJD, or doctoral-level qualification in Law or a closely related discipline.
  • Master's-level candidates may be considered where they demonstrate exceptional expertise in a specialized legal domain.
  • Strong command of legal reasoning, statutory and regulatory interpretation, case analysis, and legal research.
  • Deep expertise in at least one of the covered practice areas.
  • Experience with legal education, bar examination content development, academic assessment, judicial clerkships, legal research, or legal writing is highly valued.
  • Excellent written English with the ability to communicate complex legal concepts clearly, precisely, and concisely.
  • Strong attention to detail and the ability to identify subtle legal inaccuracies or ambiguities.
  • Prior experience with AI evaluation, training data, benchmarking, or human-in-the-loop research is a plus.
Opportunity Details
  • Commitment: 10+ hours per week
  • Work Arrangement: Fully remote
  • Work Style: Asynchronous and flexible
  • Engagement: Project-based opportunities with potential for continued participation based on performance and project requirements
Application Process

Interested candidates can submit a resume or relevant professional background highlighting their legal specialization and experience. Selected applicants may be asked to complete a short sample assessment or provide additional information about their subject-matter expertise.

Equal Opportunity

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

Contract & Payment Terms
  • You will be engaged as an independent contractor.
  • The role is fully remote and can be completed on a flexible schedule.
  • Projects may be extended, shortened, or concluded based on project requirements and performance.
  • Work will not require access to confidential or proprietary information belonging to any current or former employer, client, or institution.
  • Payments are made weekly based on services rendered through available payment methods.
  • H-1B and STEM OPT candidates are not eligible for this opportunity at this time.

Similar Jobs

36 Minutes Ago
Remote or Hybrid
OH, USA
Entry level
Entry level
Financial Services
Lead full-stack workflow orchestration engineering using Camunda, Java or Python, and React. Design BPMN/DMN processes, enterprise integrations, IAM controls, resilient long-running workflows, and scalable backend services. Establish CI/CD, observability, security, testing, and operational practices while partnering with product, operations, and control teams. Drive responsible AI-assisted engineering adoption and mentor teams on secure, reliable development practices.
Top Skills: BpmnCamundaCi/CdDmnGitopsIamJavaJvmKafkaPythonReact JsServicenowTypescript
39 Minutes Ago
Remote or Hybrid
Senior level
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Develops and leads thermal, hydraulic, lubrication, ventilation, and propulsion system models for electrified and conventional vehicles. Builds 1D and coarse 3D simulations, integrates plant models for SiL and HiL co-simulation, interprets results to guide design decisions, improves analysis tools, and develops automation using Python or MATLAB. The role also provides technical leadership, mentors colleagues, and leads efficiency improvement initiatives.
Top Skills: 1D Fluid Dynamics Modeling3D Thermal ModelingAmesimGt-SuiteHilMatlabPythonSiemens Nx CadSilSimulink
Junior
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Build and integrate thermal, hydraulic, lubrication, ventilation, and propulsion system models using 1D and coarse 3D simulation tools. Support electrified and conventional propulsion design, validation, software- and hardware-in-the-loop co-simulation, test-to-model correlation, and technical problem resolution. Interpret simulation results to recommend design improvements, enhance analysis tools, and develop automation using Python or MATLAB. The role also includes collaboration, mentoring, and knowledge sharing.
Top Skills: 1D Fluid Dynamics Modeling3D Thermal ModelingAmesimGt-SuiteHardware-In-The-LoopMatlabPythonSiemens NxSimulinkSoftware-In-The-Loop

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

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account