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Sources Sought Notice for Dataset Generation, Annotation, and Translation for AI systems Testing, Evaluation, Validation, and Verification Services

USARFP notice for Sources Sought Notice for Dataset Generation, Annotation, and Translation for AI systems Testing, Evaluation, Validation, and Verification Services. The reference ID of the tender is 126908483 and it is closing on 10 Oct 2025.

Tender Details

  • Country: USA
  • Summary: Sources Sought Notice for Dataset Generation, Annotation, and Translation for AI systems Testing, Evaluation, Validation, and Verification Services
  • UST Ref No: 126908483
  • Deadline: 10 Oct 2025
  • Financier: Self Financed
  • Purchaser Ownership: Government
  • Tender Value: Refer Document
  • Notice Type: Tender
  • Document Ref. No.: NIST-SSN-26-1002347
  • Purchaser's Detail:
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  • Description:
  • Description
    NOTICE ID NO. NIST-SSN-26-1002347
    Title: Sources Sought Notice for Dataset Generation, Annotation, and Translation for AI systems Testing, Evaluation, Validation, and Verification Services
    The purpose of this sources sought notice is to conduct market research and identify potential sources of commercial products/services that satisfy the Government-s anticipated needs.

    BACKGROUND
    Artificial Intelligence (Al) is one of the defining technologies of our era. Its emergence, together with its multiplying contexts of use and increasing capabilities, presents enormous opportunities as well as significant present and future harms.
    The U.S. Center for AI Standards and Innovation (CAISI), housed within the National Institute of Standards and Technology, was created to respond to these new national security and public interest priorities. CAISI-s mission is to identify, measure, and mitigate the risks of advanced AI systems while supporting competition, innovation, and AI adoption.
    As part of this, CAISI is conducting testing, evaluation, validation, and verification (TEVV) on AI systems for their reliability and robustness in common use cases. Task and domain areas include security (e.g., cyber, chemical, biological), criminal misuse of AI systems (e.g., fraud, scams), software engineering, AI research & development, jailbreaks, agentic tasks (such as knowledge work or computer use), AI system propensity, AI-driven productivity, AI-human interaction, simulated AI deployment scenarios (e.g., a simulated scenario in which the AI has the opportunity to deceive the user), hallucinations, manipulation, deception, geopolitical preferences, sycophancy, overreliance, manipulation, privacy, robustness, reliability, and functionality.
    CAPABILITIES SOUGHT
    NIST is seeking information from sources that may be capable of providing all of the following services:
    A. Dataset Generation
    The Contractor shall design, generate, and cu...
  • Documents:

 Tender Notice

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Sources Sought Notice for Dataset Generation, Annotation, and Translation for AI systems Testing, Evaluation, Validation, and Verification Services - USA Tender

The COMMERCE, DEPARTMENT OF | NATIONAL INSTITUTE OF STANDARDS AND TECHNOLOGY, a Government sector organization in USA, has announced a new tender for Sources Sought Notice for Dataset Generation, Annotation, and Translation for AI systems Testing, Evaluation, Validation, and Verification Services. This tender is published on USARFP under UST Ref No: 126908483 and is categorized as a Tender. Interested and eligible suppliers are invited to participate by reviewing the tender documents and submitting their bids before the deadline on 2025-10-10.

The estimated tender value is Refer Document, and full details, including technical specifications and submission requirements, are provided in the official tender documents. Ensure all submissions meet the criteria outlined to be considered for evaluation.

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