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Temporary Google Ai Jobs (NOW HIRING)

Aquent

Senior AI Data Operations Analyst

Manhattan, NY · On-site +1

$47 - $51/hr

  • Medical

  • Retirement

Temporary Salary: $47-51 Hourly W2, Benefits and 401k matching Start Date: Aug 10, 2026 Partnered ... Comfortable working with standard data tools (e.g., Excel, Google Sheets) and adept at quickly ...

Mayo Clinic

Research Fellow in Surgical AI

Rochester, MN

$67K - $78K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

A Research Fellow at Mayo Clinic is a temporary position intended to provide training and education ... MySQL, Redis), and Google Cloud Services (GCP) is a plus. The candidate must have a track-record of ...

Mayo Clinic

Research Fellow in Surgical AI

Rochester, MN · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

A Research Fellow at Mayo Clinic is a temporary position intended to provide training and education ... MySQL, Redis), and Google Cloud Services (GCP) is a plus. The candidate must have a track-record of ...

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As of Aug 14, 2026, the average hourly pay for temporary google ai in the United States is $18.38, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $19.95 per hour, depending on experience, location, and employer.

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Senior AI Data Operations Analyst

Aquent

Manhattan, NY • On-site, Remote

$47 - $51/hr

Temporary

Medical, Retirement

Posted 18 days ago

Job description

Placement Type:
Temporary
Salary:
$47-51 Hourly
W2, Benefits and 401k matching
Start Date:
Aug 10, 2026
Partnered with Aquent, our client is a leading innovator in the digital content space, dedicated to connecting millions of users with engaging digital experiences. They are at the forefront of innovation, continuously evolving how listeners discover and interact with content. This is an incredible opportunity to join a team that shapes the daily experience of a vast global audience, directly influencing how users discover and engage with content through cutting-edge AI and machine learning. Your work will directly contribute to building the essential datasets needed to train and evaluate next-generation features, making a tangible impact on the core user experience and the future of content discovery.
Are you passionate about the intersection of AI, data quality, and user experience? Imagine playing a pivotal role in ensuring the highest quality and relevance of advanced recommendation systems and AI-powered features that touch millions of users daily. We are seeking a talented individual to be a key driver of data quality and annotation strategy, bridging critical gaps between product managers, data scientists, and engineers. This hands-on, highly collaborative position offers the chance to make a tangible impact on the core user experience and shape the future of content discovery for a vast global audience.
What You'll Do
  • Perform hands-on data annotations and lead larger, cross-functional annotation sessions to generate high-quality training datasets for advanced recommendation models.
  • Establish clear criteria, metrics, and qualitative success measures for core user experience features and the AI judges evaluating them.
  • Design and execute structured qualitative testing using internal tools, ensuring human judgment remains central while leveraging AI tools to scale evaluation efforts efficiently.
  • Partner on major initiatives, driving the evolution of personalized and agentic user experiences.
  • Improve and maintain robust evaluation processes, guidelines, and documentation that are adopted across various product groups.
  • Present qualitative findings, data trends, and quality risks clearly and concisely to product, design, research, and engineering leads, influencing strategic decisions.

What You'll Bring
  • Data Quality & Annotation Expertise: Proven experience in data annotation, data quality, or product/content quality analysis with direct ownership over evaluation workflows.
  • Strong Qualitative & Analytical Acumen: Highly comfortable running structured qualitative evaluations, handling large data sets, and transforming subjective feedback into clear, actionable quality metrics.
  • AI/ML Functional Understanding: Strong functional understanding of machine learning product development and how ML/LLM/agentic features are evaluated and trained. You understand how data quality directly impacts AI outputs.
  • Process & Framework Building: Demonstrated ability to create or refine robust evaluation frameworks and guidelines that empower team members to consistently maintain high quality standards.
  • Exceptional Communication: Excellent written and verbal communication skills, with the ability to confidently present findings and guide cross-functional teams through complex evaluation initiatives.
  • Tool Proficiency: Comfortable working with standard data tools (e.g., Excel, Google Sheets) and adept at quickly learning internal proprietary annotation and evaluation platform tools.

What Will Set You Apart
  • Experience in digital media or streaming entertainment platforms (though data annotation experience in other tech industries is fully welcome).

About Skill:
Skill connects the best professional, IT, engineering, financial and administrative talent with the world's biggest brands. Our eligible talent get access to benefits such as health benefit contributions, retirement plans with match and flexible spending accounts.
Skill is an equal-opportunity employer. We evaluate qualified applicants without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. We're about creating an inclusive environment-one where different backgrounds, experiences, and perspectives are valued, and everyone can contribute, grow their careers, and thrive.

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