Job Description
Note:
The job is a remote job and is open to candidates in USA. Micro1 is seeking an Antitrust Law – AI Trainer to contribute to the development of advanced AI systems for complex competition law analysis. This role involves applying expertise in U.S. antitrust law to train and evaluate AI models in high-risk legal environments. Responsibilities • Review, assess, and validate AI-generated legal content related to U.S. antitrust law, including Sherman Act, Clayton Act, FTC Act, and relevant DOJ/FTC enforcement frameworks • Create and refine training datasets, hypothetical scenarios, and legal reasoning prompts grounded in U.S.
federal antitrust law and jurisprudence • Identify analytical errors, legal inaccuracies, and competition-related risk issues, and propose precise, legally sound corrections • Provide structured feedback to improve AI performance in antitrust analysis, market definition, merger review, monopolization, and restraint-of-trade reasoning • Collaborate with AI research and engineering teams to refine legal guidelines and ensure alignment with evolving antitrust standards and enforcement trends • Ensure AI outputs comply with U.S.
legal frameworks, ethical obligations, and professional conduct standards Skills • Active or prior U.S. bar admission (state or federal) • Experience with DOJ Antitrust Division, FTC, state AG offices, or antitrust litigation • Experience in merger control, investigations, compliance programs, or regulatory counseling • Familiarity with legal review, AI quality evaluation, or structured legal annotation workflows • Background in legal education, policy analysis, or training initiatives • Active or prior U.S.
bar admission (state or federal) • Experience in litigation, regulatory enforcement, government practice, or complex investigations • Familiarity with legal review, quality evaluation, or AI-assisted legal workflows • Background in legal education, mentoring, or policy analysis Company Overview • Micro1 offers an AI platform that converts human expertise into structured datasets and recruitment processes for companies. It was founded in 2022, and is headquartered in Palo Alto, California, USA, with a workforce of 51-200 employees.
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