
Pareto.AI is a talent-first human data collection platform for AI research, empowering the top 0.01% of expert labelers to deliver the highest-quality training data. Please note that all…

Pareto.AI is a talent-first human data collection platform for AI research, empowering the top 0.01% of expert labelers to deliver the highest-quality training data. Please note that all…
What they do: Talent-first remote data-labeling and AI training services (high-quality training data, data enrichment, B2B lead gen, outsourced ops)
Founded by: Phoebe Yao
Notable funding: Seed round led by MaC Venture Capital (company announced $4.5M seed)
Workforce: Distributed/remote workforce focused on upskilling (roles: AI Trainer / data labeler)
Training data quality and scalable human evaluation for AI models; outsourced data and operations support for businesses.
Software Development
$4.5M
Company-authored blog post announced a $4.5M seed raise.
“Includes venture investors such as MaC Venture Capital; Crunchbase lists additional investors including Fearless Fund and Slope Agency (multiple investors reported).”
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About Pareto.AI
Pareto.AI is a human data platform connecting experienced professionals with leading AI researchers to help build safer, more reliable AI systems grounded in real-world expertise.
Project overview
The project focuses on improving the ability of advanced AI systems to perform complex legal reasoning and realistic legal workflows.
The goal is to help develop an AI legal assistant capable of:
These tasks are designed to reflect real-world legal workflows and require nuanced judgment, prioritization, and decision-making.
Scope of Work
Selected legal experts will design and evaluate realistic legal tasks reflecting professional legal workflows.
Examples of tasks include:
Work may also include grading model outputs and providing structured feedback to improve performance.
Who are we looking for?
We are seeking experienced legal professionals who regularly engage in analytical legal work such as document drafting, legal research, litigation support, or regulatory interpretation.
Candidates may come from a variety of legal backgrounds including:
Minimum requirements
Ideal experience
Timeline and Commitment
This project is an ongoing initiative with flexible participation.
Accepted contributors will:
Compensation
You will be compensated $125/hour for approved submissions . Additional ad-hoc expert tasks (such as workflow review or evaluation work) may also be offered at the same hourly rate.
HOW TO APPLY
If you meet the qualifications and are interested, please apply with your LinkedIn profile and you will receive a follow-up link for further information should you meet the project criteria.
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