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Information Specialist - Freelance AI Trainer Project

Agency - United States of America

Posted Jun 7, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
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Relocation assistance
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Childcare support
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Learning budget
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Verification
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Salary
$10-$30/hr From the posting source checked Jun 20, 2026
401(k) match
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Market context

U.S. role benchmark (BLS OEWS)
$111,944 U.S. median for this role
Projected growth (BLS Employment Projections)
+13.7% - Much faster than average

63% below the BLS role benchmark for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function
Data From the posting source checked Jun 20, 2026
Seniority
Mid From the posting source checked Jun 20, 2026

Schedule

Shift type
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Weekend work
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Application

Cover letter
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Assessment
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Deadline
Not stated

Where they hire

State eligibility is not yet verified.

About this role

Information Specialist - Freelance AI Trainer Project United States of America Project Overview We are sourcing independent Information Specialists to provide their expertise for an AI benchmark evaluation project. As AI models increasingly generate professional-grade data management strategies, information retrieval systems, and content architecture deliverables, their accuracy relies entirely on robust, expert-crafted training data. The objective of this project is to autonomously produce high-quality evaluation tasks, strong prompts, and clear, well-structured rubrics that generate clean, reliable data for model training. Project Deliverables & Scope Operate autonomously to design complex evaluation frameworks and provide structured training data. Expected deliverables include: Task & Prompt Creation: Generating realistic, high-quality prompts that compel the AI model to produce complex, professional-grade deliverables specific to information science, data management, and knowledge organization. Rubric Development: Writing clear, well-structured evaluation rubrics with criteria that are highly specific, non-ambiguous, and easy to score. Benchmark Evaluation Data Generation: Producing clean, reliable training data that directly aids in the evaluation and refinement of AI models handling complex information architecture and retrieval tasks. Quality Assurance & Fact-Checking: Ensuring all generated tasks and scoring criteria reflect strict, real-world data governance standards, research methodologies, and information management best practices. Required Expertise To successfully fulfill the deliverables of this project, Contractors must possess deep industry knowledge to craft realistic professional scenarios. Core skillset includes: Demonstrable professional expertise within the information science, library science, data governance, or knowledge management sectors, with a deep understanding of industry standards, metadata schemas, and search methodologies. Strong writing and prompt

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