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Competition Law Consultant - AI Trainer - Freelance - 8-20 hrs/week - Remote

Job Overview

Location

The Netherlands

Job Type

Contract

Category

Software Engineering

Date Posted

June 13, 2026

Full Job Description

đź“‹ Description

  • • Review and refine AI-generated content related to competition law, regulatory assessments, and antitrust compliance to ensure legal accuracy and practical applicability.
  • • Evaluate the precision and real-world relevance of AI suggestions concerning competition law analysis, case assessments, and legal documentation.
  • • Design and develop real-world scenarios and case studies grounded in your professional experience in competition and antitrust law to train AI models.
  • • Generate diverse scenario variations that incorporate best practices, compliance standards, and risk considerations specific to competition law jurisdictions in the EU and UK.
  • • Identify gaps, inaccuracies, or misinterpretations in AI-generated legal content and provide structured, actionable feedback to improve model performance.
  • • Guide AI systems in understanding and correctly applying key competition law principles, including market definition, abuse of dominance, merger control, and state aid rules.
  • • Contribute to the refinement of AI tools designed to support legal professionals in competition law workflows, ensuring outputs align with regulatory frameworks and judicial precedents.
  • • Work asynchronously and remotely on a freelance basis, delivering high-quality inputs within flexible weekly hours of 8–20.
  • • Participate in onboarding and training via the 10x Team AI Academy to align with evolving AI training protocols and confidentiality standards.
  • • Collaborate within a dynamic community of legal experts contributing to AI labs, with project assignments triggered by unpredictable demand from AI research teams.
  • • Maintain strict confidentiality regarding AI Lab projects, as work may involve sensitive, unpublished research directions and proprietary training data.
  • • Respond rapidly to project requests, which may require delivery within 24 hours of notification, depending on AI lab priorities and urgency.
  • • Ensure all contributions reflect current legal standards and enforcement trends in EU and UK competition law, including recent case law and regulatory guidance.
  • • Adapt feedback style to meet the technical requirements of AI training pipelines, translating nuanced legal reasoning into structured, machine-actionable inputs.
  • • Maintain availability for asynchronous communication and project matching, with no guaranteed fixed schedule or continuous workload.

🎯 Requirements

  • • Experienced Competition Law Specialist with a background in regulatory compliance and antitrust matters
  • • Based in the EU or UK
  • • Skilled in legal research, compliance analysis, and regulatory frameworks
  • • Analytical, detail-focused, and able to provide clear, constructive feedback
  • • Available for 8–20 hours per week and comfortable working asynchronously/remotely
  • • Comfortable with confidential AI Lab work and unpredictable project timing

🏖️ Benefits

  • • Flexible, project-based freelance roles – 100% remote
  • • Directly impact how AI interprets and supports competition law workflows
  • • Access professional growth via our 10x Team AI Academy
  • • Become part of a dynamic expert community with streamlined onboarding

Skills & Technologies

Remote

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About 10Xteam Inc.

10Xteam is a talent acquisition platform designed to help companies build high-performing remote teams. It focuses on streamlining the hiring process for engineering and tech roles, enabling businesses to find, vet, and onboard top talent efficiently. The platform leverages AI and data-driven insights to match candidates with suitable positions, reducing time-to-hire and improving the quality of hires. By offering a comprehensive solution for remote recruitment, 10Xteam aims to empower organizations to scale their workforce with skilled professionals globally, fostering a culture of innovation and productivity.

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