About the Company
Intel Corporation is a global leader in computing innovation, designing and building the essential technologies that serve as the foundation for the world’s computing devices. With a strong commitment to advancing artificial intelligence and machine learning, Intel powers the future of technology by pushing the boundaries of what’s possible. Join a diverse team dedicated to impactful work and continuous learning.
Job Description
Are you a highly motivated individual with a keen eye for detail and a passion for technology, even without a traditional tech background? Intel is looking for a Machine Learning Data Associate to join our innovative team in Gilbert, AZ. This entry-level position is perfect for someone eager to contribute to cutting-edge AI projects by ensuring the quality and integrity of data. You will play a crucial role in preparing and refining datasets that fuel our machine learning models, helping to drive the next generation of intelligent solutions. No prior tech degree is required; we value your analytical skills, dedication, and ability to learn quickly.
Key Responsibilities
- Annotate, label, and categorize diverse datasets for machine learning model training and validation.
- Perform data quality checks and identify inconsistencies, errors, or anomalies in large datasets.
- Collaborate with ML engineers and data scientists to understand project requirements and data needs.
- Contribute to the development and improvement of data annotation guidelines and processes.
- Provide constructive feedback on tools and processes to enhance efficiency and accuracy.
- Maintain strict confidentiality and data security protocols.
- Learn and adapt to new data types and annotation tasks as project requirements evolve.
Required Skills
- Exceptional attention to detail and accuracy.
- Strong analytical and problem-solving skills.
- Proficiency in basic computer applications (e.g., Microsoft Office Suite, web browsers).
- Excellent communication and teamwork abilities.
- Ability to work independently and manage time effectively.
- High level of integrity and commitment to data quality.
- A strong desire to learn about machine learning and data annotation.
Preferred Qualifications
- Experience with data entry, quality assurance, or annotation tasks (any field).
- Familiarity with online collaborative tools.
- Basic understanding of data privacy principles.
- A track record of taking initiative and adapting to new challenges.
Perks & Benefits
- Comprehensive health, dental, and vision insurance.
- 401(k) retirement plan with company match.
- Paid time off and holidays.
- Employee stock purchase plan.
- Professional development and training opportunities.
- On-site fitness centers and wellness programs.
- Employee assistance programs.
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.
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