WFH.teamOpen app$166k-$270k
Salary details are shown when available from the source listing. Sign in before applying so the role can be reviewed against your resume, salary goals, seniority, timezone, and location eligibility.
Decision details from the source listing
unspecified
These fields are normalized from the employer's text. Confirm details on the employer site before applying.
What this posting tells you
Contractor opportunity for US-based antitrust attorneys and competition law professionals to review legal materials, create and validate datasets, and provide guidance for AI training. An active US law license focused on antitrust and competition law is preferred. No salary or pay range is stated in the description.
Customer success, Data, Legal, Marketing, Product, Security
United States
Timezone overlap is not stated.
Experienced professional · Contractor
- Required timezone overlap is not stated
Customer success hiring on WFH.team
This role's listed pay is above the median among 199 comparable roles shown here. Category counts come from WFH.team's latest published remote job market snapshot.
Explore the remote job marketLegal Expert (Antitrust & Competition Law) at micro1
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.
Working remotely at micro1
micro1 builds human-expertise data and evaluation infrastructure for AI models and agents. It recruits core-team employees and domain experts for AI training projects.
- Headquarters
- San Francisco Bay Area, California, United States
- Founded
- 2022
Expert opportunities are remote and can be flexible. International applicants are considered, subject to country exclusions and each project's requirements. Core-team work arrangements vary by opening; check the individual posting.
Apply through the official posting. Expert applicants complete an AI interview and skills certification, followed by project selection and onboarding. Certification does not guarantee a project or immediate work.