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  "job_title": "Freelance Legal Consultant (US Law) - AI Trainer",
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  "employer_name": "Mindrift",
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  "job_posted_at": "6 days ago",
  "job_publisher": "LinkedIn",
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  "job_description": "Please submit your CV in English and indicate your level of English proficiency.\n\nMindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.\n\nWhat This Opportunity Involves\n\nWhile each project involves unique tasks, contributors may:\n• Generate prompts that challenge AI;\n• Evaluate AI-generated solutions for correctness, assumptions, and logic;\n• Improve AI reasoning to align with first principles and accepted standards;\n• Apply structured scoring criteria to assess multi-step problem solving\n\nWhat We Look For\n\nThis opportunity is a good fit for legal consultants, attorneys with an experience in US law open to part-time, non-permanent projects. Ideally, contributors will have:\n• Degree in law (Bachelor, J.D., LLM, FLLM) within the US context\n• 2+ years of legal practice experience within US jurisdiction\n• Strong written English (C1/C2)\n• Stable internet connection\n\nHow It Works\n\nApply → Pass qualification(s) → Join a project → Complete tasks → Get paid\n\nProject time expectations\n\nFor this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.\n\nCompensation\n\nOn this project, contributors can earn up to $53 per hour equivalent, depending on their level and pace of contribution.\n\nCompensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.",
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  "employer_website": "https://mindrift.ai",
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  "job_employment_type": "Part-time",
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  "job_posted_at_timestamp": 1773532800,
  "job_posted_at_datetime_utc": "2026-03-15T00:00:00.000Z"
}