Job Details:

Role: Content Producer (Data Operations and Market Analysis)

Client: Fortune 10 – IT Domain (one of the largest manufacturers of Smart phones and watches based out of Cupertino CA)

Location: Cupertino, CA (Hybrid)

Duration: 6 Months

W2 Role

Responsibilities:

• 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 solve, 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 company style and project requirements.
• Collaborate with cross-functional teams to precisely define the evaluation requirements necessary for Machine Learning/ Large Language Models implementation across different projects.
• Ensure data quality is maintained at high standards and continually enhance processes based on both quantitative and qualitative feedback.
• 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.

Required Qualifications:

• 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.
• Ability to work cross-functionally with Design, Product, Editorial, Safety and Engineering teams to deliver quality on time.
• Experience in Large Language Models and knowledge about LLM evaluation techniques, such as human evaluation and automated benchmarks is desirable.
• Advanced degree in linguistics, computer science, machine learning, cognitive science, psychology, economics, or similar (preferred).
• 3 Years of experience is needed.

Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.