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Computer & Information Systems 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
$6-$65/hr From the posting source checked Jun 20, 2026
401(k) match
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Market context

U.S. role benchmark (BLS OEWS)
$116,543 U.S. median for this role
Projected growth (BLS Employment Projections)
+9.8% - Much faster than average

37% below the BLS role benchmark for software engineering aggregate.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

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

Role

Role function
Engineering 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

Computer & Information Systems Specialist - Freelance AI Trainer Project United States of America Are you a Computer and Information Systems expert eager to shape the future of AI? Large‑scale language models are evolving from clever chatbots into powerful engines of technical insight and enterprise innovation. With high‑quality training data, tomorrow's AI can democratize world‑class education, optimize business systems, and streamline workflows for IT professionals everywhere. That training data begins with you-we need your expertise to help power the next generation of AI. We're looking for Computer and Information Systems specialists who live and breathe software architecture, systems analysis, data management, cloud infrastructure, cybersecurity, database design, and IT project management. You'll challenge advanced language models on topics like enterprise system integration, information governance, network configuration, cybersecurity frameworks, distributed computing, systems development life cycle (SDLC), and IT compliance-documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model on real-world IT scenarios and theoretical systems architecture questions, verify technical accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics. A bachelor's or master's degree in Computer Information Systems, Information Technology, Computer Science, or a closely related field is ideal; industry certifications (e.g., CompTIA, CISSP, AWS, PMP), enterprise deployment experience, or technical writing projects signal fit. Clear, metacognitive communication-“showing your work”-is essential. Ready to turn your systems expertise into the knowledge base for tomorrow's AI? Apply today and start teaching the model that will teach

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