Summa Linguae Technologies

Technology-enabled solutions to help global companies with any multilingual data challenge.

Technical Project Manager – AI Data Processing

Technical Project ManagerTechnical Project ManagerContractRemoteTeam 201-500H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

7 days ago

Salary

$3K - $7K / month

Bachelor Degree3 yrs expEnglishPythonSQL

Job Description

• 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 compute quality and consistency metrics such as: WER (Word Error Rate) maintain Python utilities IAA (Inter-Annotator Agreement). • 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., work types/templates), advising on setup patterns and trade-offs. • Investigate issues by querying datasets through database tools and producing clear summaries of findings and next steps.

Job Requirements

  • 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.

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