Harvey Nash
Content Producer
Harvey Nash, Cupertino, California, United States,
Title: Content ProducerLocation: Cupertino, CA (Hybrid)Duration: 6 Months to begin withPay: $31.00/hr. on W2 with BenefitsDescription:Ability to work cross-functionally with Design, Product, Editorial, Safety and Engineering teams to deliver quality on time. Collaborate with cross functional teams to precisely
define the evaluation requirements necessary for Machine Learning/ Large Language Models implementation across different projects.Native-level fluency and Strong written communication skills in US English language is essential to this role.Linguistic/cultural skills: expert knowledge of grammar, spelling, and cultural appropriateness to accurately represent user experience early in the software development cycles.Ensure data quality is maintained at high standards and continually enhance processes based on both quantitative and qualitative feedback
Responsibility and Skills Required:Responsibilities may include, but are not limited to: evaluating content, researching and verifying accuracy of relevant metadata pertaining to different media types.Quality assurance reviewing, verifying, editing, scoring, transcribing, copywriting, and reporting on data and/or assets across a broad scope of media and content types.Problem solves, provide clear suggestion/feedback to leads, and effectively communicate recommendations to both editorial and engineering teams.Leverage established workflows and tooling for various content tasks.Collaborate and follow guidance from the Project Lead, Style Guides, and Terminology Databases on all matters related to the Client style and project requirements.Experience in Large Language Models and knowledge about LLM evaluation techniques, such as human evaluation and automated benchmarks is desirable.Conduct research with humans to validate and create automated benchmarks for LLM evaluations.
Collect data from human participants (e.g., surveys, experiments) with knowledge about data quality, data validity, etc.Advanced degree in linguistics, computer science, machine learning, cognitive science, psychology, economics, or similar (preferred).3+ Years of experience is needed.
define the evaluation requirements necessary for Machine Learning/ Large Language Models implementation across different projects.Native-level fluency and Strong written communication skills in US English language is essential to this role.Linguistic/cultural skills: expert knowledge of grammar, spelling, and cultural appropriateness to accurately represent user experience early in the software development cycles.Ensure data quality is maintained at high standards and continually enhance processes based on both quantitative and qualitative feedback
Responsibility and Skills Required:Responsibilities may include, but are not limited to: evaluating content, researching and verifying accuracy of relevant metadata pertaining to different media types.Quality assurance reviewing, verifying, editing, scoring, transcribing, copywriting, and reporting on data and/or assets across a broad scope of media and content types.Problem solves, provide clear suggestion/feedback to leads, and effectively communicate recommendations to both editorial and engineering teams.Leverage established workflows and tooling for various content tasks.Collaborate and follow guidance from the Project Lead, Style Guides, and Terminology Databases on all matters related to the Client style and project requirements.Experience in Large Language Models and knowledge about LLM evaluation techniques, such as human evaluation and automated benchmarks is desirable.Conduct research with humans to validate and create automated benchmarks for LLM evaluations.
Collect data from human participants (e.g., surveys, experiments) with knowledge about data quality, data validity, etc.Advanced degree in linguistics, computer science, machine learning, cognitive science, psychology, economics, or similar (preferred).3+ Years of experience is needed.