Corporate M&A Attorney - Legal Document Review (Remote)

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. We help freelancers discover projects, build a consistent portfolio, and grow durable careers contributing human expertise that shapes how modern AI systems behave.

Work on OpenTrain is typically remote and flexible, and the platform supports contributors at every experience level in a fast-growing industry where human judgment matters.

About AI training work in legal domains

AI training (data labeling / annotation) is the human side of building AI: real people review, annotate, and provide feedback on text, documents, audio, and images so models learn to interpret content correctly. Legal and compliance inputs are in high demand because they help models handle sensitive corporate information safely and accurately.

This role helps create high-quality training data and protocols so generative and analysis models better understand corporate transactions, privacy risks, and how to treat personally identifiable information (PII) in legal documents.

The role

OpenTrain is recruiting a contractor Corporate M&A Attorney to review, analyze, and annotate corporate, M&A, and financial documents for use in AI training. This position is with OpenTrain and is remote and part-time, typically 20+ hours per week.

You will apply legal judgment to identify PII exposure, recommend anonymization approaches, and help refine data handling protocols so training datasets meet practical compliance standards.

• Employment type: Contractor, Part-time
• Schedule: Remote, typically 20+ hours/week
• Pay: Hourly contractor role; effective rate typically ranges $40–$70 USD per hour
• Work is document-focused (DOCUMENT); label types include Entity NER classification and Evaluation rating;

What you will do

This role combines legal review, data-annotation judgment, and collaboration with cross-functional teams to improve how AI models interpret legal content and handle sensitive data.

• Review, analyze, and annotate corporate, M&A, and financial documents with attention to compliance and data privacy.
• Identify direct and structural PII risks and document best practices for anonymization and sensitive-data handling.
• Support training resources that reflect regulatory and compliance frameworks relevant to M&A and corporate law.
• Collaborate with data engineers, label QA, and others to improve processing protocols and reduce re-identification risk.
• Provide detailed written and verbal feedback to help models and label teams better interpret legal content.

Requirements

Candidates must meet the core experience and skills below; all requirements come from the role description and are necessary for safe, accurate annotation of legal documents.

• Minimum 2 years of experience with PII compliance in financial or corporate settings (required).
• Demonstrated expertise in mergers and acquisitions, sensitive document handling, and data privacy regulation.
• Proven ability to identify both direct and structural PII risks in corporate documentation.
• Careful attention to compliance and the ability to generalize, redact, or omit sensitive content when needed.
• Experience drafting, reviewing, and revising legal documents related to financial transactions and corporate governance.
• Fluent English required; role is open worldwide.

Helpful background

The following are not required but will strengthen an application and help you hit the ground running on legal annotation projects.

• Finance or corporate law background.
• Experience developing or reviewing AI or data-privacy training materials.
• Knowledge of global data privacy laws and cross-border compliance challenges.

How this works and next steps

If selected, you will work as a contractor contributing annotated documents, evaluations, and protocol guidance. Compensation is hourly, tracked and paid per OpenTrain budget details at the stated range.

Expect to use the provided annotation interface (OTHER) to apply Entity NER classification and Evaluation ratings, and to collaborate asynchronously with labeling QA and protocol leads. Apply with your resume and examples of relevant work; highlight M&A and PII compliance experience.

• Location: Remote (worldwide)
• Time commitment: 20+ hours/week (part-time contractor)
• Pay: $40–$70 USD per hour (hourly contractor role)