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LLM Model Response Evaluation

Lifted, an Upwork Company™
Posted 2 months ago, valid for 10 days
Location

Maryland City, MD, US

Salary

Competitive

Contract type

Contract

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Sonic Summary

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  • Our client, a global technology company specializing in AI systems, is seeking experts to evaluate model-generated content based on quality rubrics such as factuality and consistency.
  • The role involves assessing various modalities including text, images, audio, and video, and requires independent research on unfamiliar topics.
  • Candidates must have a minimum of 3 years of hands-on experience in LLM/GenAI data evaluation and possess a Master's or PhD, with a preference for PhD candidates.
  • The position offers flexible and remote work with a variable workload, allowing individuals to accept or decline tasks based on their availability.
  • Salary details are not specified, but the role demands significant expertise and experience in the field.

Company Description

Our client, a global technology company that helps businesses build, train, and manage AI systems is looking for experts to evaluate model-generated content against defined quality rubrics such as factuality, consistency, aesthetics, and other evaluation criteria.

Job Description

  • Evaluating UI widgets, infographics, image factuality, side-by-side comparisons, and similar AI evaluation activities.
  • The work may involve text, images, audio, video, HTML widgets, PDFs, or combinations of these modalities.
  • The work is domain-agnostic and may cover topics across arts, culture, history, science, engineering, and more.
  • Resources will be expected to independently research unfamiliar topics using trusted sources before making evaluation decisions.
  • Each task will include detailed project guidelines within the evaluation platform.

Qualifications

  • 3+ years of hands-on experience in LLM / GenAI data evaluation.
  • Bachelor's Degree required 
  • Ability to research unfamiliar topics using trusted sources and make well-supported judgments.
  • Comfortable evaluating content across multiple modalities 

Additional Information

Flexible and remote work
Variable workload: Accept or decline tasks based on your availability
No guaranteed hours: Workload may vary weekly




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