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AI Data Operations Manager
| Company | HackerRank |
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| Location | San Francisco, CA, USA |
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| Salary | $130000 – $150000 |
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| Type | Full-Time |
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| Degrees | |
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| Experience Level | Mid Level, Senior |
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Requirements
- 4+ years in data operations, program management, or content operations for ML, NLP, and AI projects.
- Hands-on experience shipping labeled datasets at scale and running quality-control processes, determining the best balance between building and buying tools to scale.
- Working knowledge of ML/LLM data formats and annotation platforms (e.g., Labelbox, Scale, custom tools).
- Strong project-management skills and proficiency with SQL or Python/pandas for metric tracking.
- Excellent written and verbal communication; able to work with engineers, researchers, and customers.
Responsibilities
- Translate model or product needs into clear data specs, timelines, and success metrics.
- Source, onboard, and coach SME labelers or third-party vendors; track throughput and cost.
- Design scalable workflows, run sampling audits, and drive continual quality improvements (e.g., inter-annotator agreement targets).
- Package datasets with schemas, metadata, and usage guidelines; ensure security and licensing compliance.
Preferred Qualifications
- Experience with coding challenges or software engineering datasets.
- Familiarity with privacy and security frameworks (GDPR, SOC 2).
- Record of managing distributed or crowdsourced labeling teams.
