LinkedIn and 3rd parties use essential and non-essential cookies to provide, secure, analyze and improve our Services, and to show you relevant ads (including professional and job ads) on and off LinkedIn. Learn more in our Cookie Policy.
Select Accept to consent or Reject to decline non-essential cookies for this use. You can update your choices at any time in your settings.
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
Seniority level
Entry level
Employment type
Contract
Job function
Education and Training
Industries
Software Development
Referrals increase your chances of interviewing at LinkedIn by 2x