Legal Expert (Antitrust & Competition Law)

Pay: $80 - $130/hour

Required Skills
Antitrust Attorney
Competition Counsel
Antitrust Litigation Attorney
About micro1
micro1 is a data lab that helps AI labs & Enterprises train foundational models and agents. We provide frontier evaluations and reinforcement learning environments to improve LLM capabilities, as well as contextual evaluations to monitor and improve AI agents in enterprise settings.

Our AI recruiting agent sources and vets domain experts for our data platform that enables rapid production of high-quality training data. Our research spans high-value, specialized domains (legal, medical, finance, coding, etc.), where expert-level data is the hardest to produce and most valuable for advanced model performance. Our pipeline performance system ensures both quality and velocity.

Role Title: Legal Expert (Antitrust & Competition Law)

Role Type: Contractor

Location: Remote

micro1 is engaging Legal Experts (Antitrust & Competition Law) to participate in a dynamic legal data annotation project for a leading client. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. This opportunity is ideal for US-based antitrust attorneys and competition law professionals interested in shaping the future of legal technology, with a focus on merger reviews, compliance, monopolization, price fixing, and litigation in the antitrust sector. Strong written and verbal communication skills will be essential for success.

Scope of Work

Review and analyze legal documents and case materials relevant to antitrust litigation, merger reviews, and competition compliance.
Create, annotate, and validate legal data sets related to monopolization, price fixing, and other key antitrust issues.
Develop clear guidance and frameworks for annotating legal cases, statutes, and regulatory materials for AI training purposes.
Assess and improve annotation quality through feedback and iterative review cycles.
Summarize complex legal arguments and decisions to provide concise reference content for AI model calibration.
Collaborate with project stakeholders to clarify requirements and ensure legal accuracy and integrity in all deliverables.
Maintain strict confidentiality and adhere to all data privacy and professional standards throughout the engagement.

Preferred Qualifications

Active license to practice law in the United States with a focus on antitrust and competition law.
Demonstrated experience as an antitrust attorney, competition counsel, or antitrust litigation attorney.
In-depth knowledge of US antitrust statutes, regulatory frameworks, and enforcement practices.
Proven track record in handling merger reviews, compliance programs, monopolization, and price fixing matters.
Exceptional written and verbal communication skills with a keen attention to detail.
Prior exposure to legal data annotation or legal technology projects is a plus, but not required.
Ability to deliver high-quality, thoroughly researched outputs within defined project timelines.
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