Junior Data Processor for AI – High Volume, Steady Work

🏢 Google📍 Bend, OR, United States💼 Full-Time💻 On-site🏭 Artificial Intelligence💰 35000-45000 per year

About the Company

Google’s mission is to organize the world’s information and make it universally accessible and useful. We are a global technology leader committed to improving the lives of billions through innovation. Our AI initiatives are at the forefront of this mission, powering everything from search to self-driving cars. We believe in building diverse teams and fostering an inclusive environment where everyone can thrive and contribute to groundbreaking projects.

Job Description

We are seeking a highly detail-oriented and diligent Junior Data Processor for AI to join our growing team in Bend, Oregon. This is an entry-level position perfect for individuals eager to contribute to cutting-edge artificial intelligence projects. You will play a crucial role in preparing, annotating, and validating large datasets that train and improve our AI models. This role requires consistent focus, accuracy, and the ability to handle a high volume of tasks efficiently. You will work within a structured environment, contributing directly to the quality and success of various AI applications across Google.

Key Responsibilities

  • Accurately label, categorize, and annotate diverse data types (images, text, audio, video) according to specific guidelines.
  • Perform data validation and quality checks to ensure high precision and consistency.
  • Identify and escalate data anomalies or ambiguous cases to team leads for clarification.
  • Contribute to the refinement of annotation guidelines by providing feedback and insights.
  • Manage daily data processing tasks to meet productivity and quality targets.
  • Collaborate with a team of data processors and AI researchers to support project goals.
  • Maintain confidentiality and security of all data handled.

Required Skills

  • High school diploma or equivalent.
  • Exceptional attention to detail and strong focus.
  • Proficiency in basic computer operations and web navigation.
  • Ability to understand and follow complex instructions precisely.
  • Strong organizational skills and ability to manage time effectively.
  • Reliable and consistent work ethic in a high-volume environment.
  • Basic understanding of English grammar and comprehension.

Preferred Qualifications

  • Associate's or Bachelor's degree in any field.
  • Prior experience with data entry, annotation, or quality assurance.
  • Familiarity with artificial intelligence or machine learning concepts.
  • Experience using specific data annotation tools.
  • Ability to adapt to new tools and processes quickly.

Perks & Benefits

  • Competitive hourly wage with opportunities for growth.
  • Comprehensive health, dental, and vision insurance.
  • Paid time off and company holidays.
  • 401(k) retirement plan with company match.
  • Employee assistance program.
  • Opportunities for professional development and training in AI.
  • Modern office environment with ergonomic workstations.

How to Apply

If you are interested in this position, please click the "Apply Now" button below. To ensure your application is properly considered, please prepare the following:

  • An up-to-date Resume or CV
  • A brief cover letter summarizing your experience and motivation

Applications are reviewed on a rolling basis. Only shortlisted candidates will be contacted for an interview.

⚠️ Important Disclaimer

Welcome to Westford Trust. We publish job opportunities aggregated from public sources, employers, and job portals. We never charge any fees to access or use our website; all information is provided entirely for free.

Westford Trust does not directly offer or manage these positions, nor are we directly involved in the hiring process for the vacancies published on https://job.westfordtrust.com.

If you suspect a fraudulent listing or have any questions, please contact us at techturna@gmail.com.

Job Application

×

Login Required

You must be signed in to apply for this job.

Scroll to Top