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 DATAmundi 

DATAmundi builds advanced software solutions that power our localization and data services. We support AI companies and research teams by delivering high-quality datasets, validation workflows, and scalable 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 structured data and validation methodologies. 

We are expanding our R&D activities and seeking researchers to collaborate on applied research and technical outreach within 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 client requirements into executable validation logic for data processing workflows, support data post processing, and help ensure delivery data is consistent, measurable, and within client 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 quality assurance checks. 

What you’ll do 

Own the end-to-end coordination of data deliveries, from intake to validation and handoff. 

Work with client data delivered via S3 buckets or direct uploads; ensure correct structure, completeness, and readiness for downstream use. 

Translate client guidelines into automated validation using SQL, regex, and supporting scripts. 

Create and  to compute quality and consistency metrics such as: 

WER (Word Error Rate) maintain Python utilities

IAA (Inter-Annotator Agreement) 

Additional dataset-level metrics as required 

Use Windows Command Prompt 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 criteria). 

Quickly ramp 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 clear summaries of findings and next steps. 

What we’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 (pattern-based validation) 

Command line / Windows 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 options and recommend an approach based on pros/cons, timelines, and maintainability. 

Nice to have 

Experience with speech/audio or text datasets (given WER and annotation agreement use cases). 

Familiarity with cloud data workflows (especially AWS S3 concepts like buckets, prefixes, access patterns). 

Experience with data labeling/annotation workflows and quality frameworks.