Red Hat · 5 hours ago
Principal AI Taxonomy Engineer
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Responsibilities
Evaluate and optimize triaging processes and documentation over time, ensuring the team’s processes are efficient and up-to-date.
Triage pull requests (PRs) and route tasks to appropriate team members or departments; identify trends in incoming data.
Develop and code software programs, algorithms, and automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources.
Ensure consistency and accuracy in data labeling and categorization, continuously updating and refining taxonomies as new categories or concepts emerge.
Help maintain data quality by filtering out low-quality or unsuitable inputs; as needed, escalate actions in response to sensitive or inappropriate content.
Create and maintain documentation for taxonomy changes, usage guidelines, and best practices; monitor repository cleanliness and take action to maintain order (e.g., close dated PRs and irrelevant issues).
Maintain documentation regarding triage and taxonomy status, as well as skills and knowledge contribution process enhancements.
Monitor and analyze the effectiveness of taxonomies in supporting AI model performance.
Support public and community engagement through maintenance of community triage communications channels (i.e., slack, community calls).
Support customers in curating and utilizing Red Hat taxonomies; advise customers on establishing - and debugging - custom taxonomies.
Qualification
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Required
Bachelor's degree in computer science or equivalent.
Experience with large-scale data management.
Strong self-motivation and organizational skills.
Ability to think systematically and identify patterns.
Adaptability to evolving technologies and methodologies.
Demonstrates ability to context switch between multiple concurrent projects.
Excellent written and verbal communication skills.
Positive attitude and willingness to share ideas openly.
Ability to maintain strict confidentiality when in contact with confidential or sensitive customer information in accordance with Red Hat policies and applicable privacy laws.
Preferred
Bachelor's degree in Computer Science, Information Science, or a related field.
Understanding of classification systems, metadata standards, and controlled vocabularies.
Familiarity with Python scripting.
Familiarity with AI and machine learning concepts and their data requirements.
Familiarity with participating in an agile development team.
Experience working within an open source community.
Benefits
Comprehensive medical, dental, and vision coverage
Flexible Spending Account - healthcare and dependent care
Health Savings Account - high deductible medical plan
Retirement 401(k) with employer match
Paid time off and holidays
Paid parental leave plans for all new parents
Leave benefits including disability, paid family medical leave, and paid military leave
Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more!
Company
Red Hat
Red Hat is a software company that offers enterprise open source software solutions. It is a sub-organization of IBM.
H1B Sponsorship
Red Hat has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (124)
2022 (184)
2021 (187)
2020 (113)
Funding
Current Stage
Public CompanyTotal Funding
unknown2018-10-28Acquired· undefined
1999-08-20IPO· undefined
1999-03-09Corporate Round· undefined
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