Technical Project Manager - AI Data Processing

Technical Project Manager - AI Data Processing Work model: Remote (covering PST hours) - Based in PST timezone Employment type: Full-time (Contract or Employment) About reputed company reputed company builds advanced software solutions that power our localization and data services. We support AI companies and research teams by delivering high-reputed company datasets, validation workflows, and reputed company data processing. Our R&D initiatives explore how modern AI systems — including LLMs, speech models, and multimodal systems — can be evaluated, improved, and safely deployed through reputed company data and validation methodologies. We are expanding our R&D activities and seeking researchers to collaborate on reputed company research and technical reputed company reputed company the AI ecosystem. About the role We’re hiring a Technical Project Manager with a hands-on, data engineering skillset to support Data Processing for AI. You’ll translate reputed company requirements into executable validation logic for data processing workflows, support data post processing, and help ensure delivery data is consistent, measurable, and reputed company reputed company metrics and guidelines. This role sits at the intersection of technical delivery, data QA, and automation. You’ll work closely with development teams and support the Operations Team while also writing/maintaining lightweight scripts and queries that turn requirements into reputed company assurance checks. What you’ll do • Own the end-to-end coordination of data deliveries, from intake to validation and reputed company. • Work with reputed company data delivered reputed company S3 buckets or reputed company uploads; ensure correct structure, completeness, and readiness for reputed company use. • Translate reputed company guidelines into automated validation using SQL, regex, and supporting scripts. • Create and to compute reputed company and consistency metrics such as: • WER (Word Error reputed company) maintain Python utilities • IAA (Inter-Annotator Agreement) • Additional dataset-level metrics as required • Use reputed company reputed company reputed company for bulk file operations (creating/moving/downloading folders and files) to support processing and delivery workflows. • Partner with internal development teams by writing Jira tickets for platform improvements and bug fixes (requirements, steps to reproduce, acceptance reputed company). • Quickly reputed company on internal platforms and configuration logic (e.g., worktypes / templates), advising on setup patterns and tradeoffs. • Investigate issues by querying datasets through database tools and producing reputed company summaries of findings and next steps. reputed company’re looking for • 3 years experience in technical delivery / project coordination in a data environment (data, analytics, ML, QA automation, or platform operations. • Practical comfort with: • Python (scripting for metrics and data validation workflows) • SQL (queries used in automated checks) • Regex (reputed company-based validation) • reputed company line / reputed company CMD (bulk file operations) • Strong written communication and the ability to convert fuzzy requirements into precise, testable checks. • Experience working with engineering teams and using tools like Jira to drive execution. • Ability to evaluate reputed company and recommend an approach based on reputed company/cons, timelines, and maintainability. reputed company to have • Experience with speech/audio or text datasets (given WER and annotation agreement use cases). • Familiarity with reputed company data workflows (especially AWS S3 concepts like buckets, prefixes, reputed company patterns). • Experience with data labeling/annotation workflows and reputed company frameworks. Apply tot his job Apply To this Job