Dataverse AI Trainer, $65–$75/hour

LinkedIn • United States

Full time May 14, 2026 (3 weeks ago)

Job Description

Project Overview:

Join a growing community of professionals advancing the next wave of AI. As an AI Trainer, you’ll play a hands-on role by analyzing and providing feedback on data to improve LLM performance, helping ensure that the next generation of AI technology is accurate and trustworthy.


We are seeking a skilled Dataverse Specialist / Power Platform Developer to work as a project consultant in our AI Labor Marketplace. This is not a full-time employment position — you will be engaged as an expert project consultant on a contract basis.


Location: U.S.-based experts only

Engagement: Part-time, project-based expert evaluation work

Work Type: Remote


Project Summary:

Contributors will evaluate and improve AI-generated responses involving Microsoft Dataverse, including data modeling, relationships, security, and integrations.


Consultant Engagement Terms (fixed):

This is a project-based consultant role. Consultants will be paid on a per-project basis; hourly rates are estimates based on anticipated completion time. Consultants control their own schedule, provide their own tools, and may simultaneously provide services to other vendors/employers (subject to those vendors’ allowances).


Responsibilities:

Contributors will:

  • Evaluate AI responses related to Dataverse schemas and architecture
  • Validate entity relationships, business rules, and data integrity
  • Identify incorrect assumptions or incomplete solutions
  • Rewrite responses with accurate technical guidance
  • Provide structured scoring and annotations
  • Follow rubric-based evaluation standards


Expected Outcomes:

  • Structured evaluations with scoring and rationale
  • Corrected Dataverse solutions
  • Annotated outputs for AI training


Qualifications:

  • Hands-on experience with Microsoft Dataverse
  • Strong understanding of data modeling and platform architecture
  • Experience in Power Platform development or support
  • Familiarity with structured evaluation or QA processes


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