Commercial Real Estate Energy Law Clerk

About OpenTrain

OpenTrain is the centralized platform where people start and grow careers teaching AI. We connect freelancers with AI training and data-labeling projects, help contributors consolidate opportunities across platforms, and provide a place to build a unified portfolio that you control. Creating an OpenTrain account is free.

Why AI training matters in legal and energy work

AI training (also called data labeling or human feedback work) is the human side of building better AI. In specialized domains like commercial real estate and energy permitting, high-quality human review teaches models to recognize ownership, land-use restrictions, compliance evidence, and legal deficiencies—improving automated document review used by practitioners and developers.

This role helps create benchmark data and validation examples that power automated review systems for power generation projects and related infrastructure.

About the role

OpenTrain is recruiting, on behalf of OpenTrain, for a Commercial Real Estate Energy Law Clerk to review and label legal documents tied to power generation and infrastructure projects on the US East Coast. You will extract structured facts, verify ownership and land-use rights, identify compliance evidence and deficiencies, and collaborate with a tiered review team to produce reliable training and evaluation data for AI systems.

• Contractor, part-time assignment supporting AI model training and validation.
• Work focuses on commercial real estate documents, site control agreements, and title records.

What you'll do

Your day-to-day work centers on careful document review, structured extraction, and clear communication of legal findings to support model training and quality assurance.

• Review commercial real estate documents, site control agreements, and title records.
• Extract structured data points tied to ownership, title, and land-use rights.
• Identify and document evidence of land-use compliance and legal deficiencies.
• Work with a tiered review team to reconcile findings and improve accuracy.
• Contribute benchmark datasets used to validate and improve AI-driven document review models.
• Communicate findings clearly in writing and verbally and apply evidence-based legal analysis to support model evaluation.

Requirements

Candidates must meet the role's legal and regional experience expectations and be able to produce high-quality, structured legal labels.

• Commercial real estate law experience, especially for infrastructure or power generation projects.
• Strong understanding of title, ownership, and land-use rights documentation.
• Document review and data extraction experience with careful attention to detail.
• Strong written and verbal communication skills and structured legal analysis.
• Professional experience within US East Coast jurisdictions.
• Comfort working in a multi-tiered legal review process and following annotation guidelines precisely.

Helpful background

The following are not required but will make you an especially strong fit for this project and may speed onboarding.

• Direct involvement in power generation or energy project land acquisition and permitting.
• Prior exposure to AI agent projects or automated legal review platforms.
• Advanced legal research or prior data annotation experience in legal domains.

How this project works & compensation

This is a part-time, contractor role. The work is performed remotely within the United States and focuses on document annotation and evaluation for AI training. You will contribute entity and structured-data labels as well as evaluation ratings used to benchmark automated review systems.

• Time commitment: 20+ hours per week.
• Pay: USD $40–$55 per hour (project pays hourly).
• Employment type: Contractor, part-time.
• Data type: Document review; label types include entity NER/classification, data collection, and evaluation/rating.
• Annotation platform: OTHER (project uses a non-standard or proprietary labeling tool).

Who should apply and next steps

This role is a fit for legal professionals or paralegals with commercial real estate and land-use experience who want to apply their domain expertise to improving AI systems. If you have the required regional experience and a careful, evidence-based approach to document analysis, this project is a chance to shape automated legal review for energy infrastructure.

To apply, create or sign in to your OpenTrain account and submit your profile and application for the OpenTrain Commercial Real Estate Energy Law Clerk project. OpenTrain helps you track your work and build a portfolio of AI training experience.