Project Manager

Welocalize•Houston, TX

1d•Remote

About The Position

This Project Manager role owns quality assurance, workforce planning, and training programs for AI training data delivery across multiple small projects or one large strategic project. The position is responsible for improving performance, compliance, and processes across various projects and partners with the Senior Quality Analyst to share accountability for client outcomes and team performance. Welocalize is a leading technology-enabled provider of translation, localization, and AI-driven content solutions, helping businesses communicate, innovate, and grow globally. They specialize in complex and regulated industries, delivering precise, scalable multilingual content through a powerful combination of advanced AI technologies and expert human talent. Welocalize's AI-enabled OPAL platform transforms translation workflows by integrating machine translation (MT) and large language models (LLMs) to provide fast, accurate, and culturally relevant content in over 300 languages. The company holds 7 ISO certifications and is headquartered in New York with offices globally.

Requirements

Bachelor’s degree or equivalent experience in business, data/operations, engineering, or related fields
2+ years in project/operations delivery with hands-on QA and workforce planning (AI data, content review, labeling/annotation, or adjacent domains)
Experience running trainings and coordinating multi-team delivery
Planning and organization across multiple projects (quality, workforce, and training tracks)
Clear communication with clients and internal partners; confident in reviews and governance forums
Solid use of spreadsheets, PM/task boards, and basic BI; familiarity with ETL concepts is a plus
Practical QA know-how (sampling, audits, acceptance criteria) and continuous-improvement mindset
Capacity planning, scheduling, and vendor coordination
Coaching for C2–C3 Coordinators and P1s; gives day-to-day guidance
Confident escalation and negotiation to resolve risks, issues, and scope questions
Comfortable working with global, distributed teams (intermediate to advanced English)

Nice To Haves

Near-native English with strong writing and editorial skills
Hands-on experience with generative AI tools (text, voice, or video)
Background in QA testing, rubric design, or AI safety/ethics evaluation
Familiarity with data-annotation platforms and model-evaluation tools
Ability to interpret code, datasets, and system workflows at a conceptual level (no coding required)
Able to work independently and manage workflows effectively in a remote environment
Multilingual ability beyond English

Responsibilities

Monitor QA plans in partnership with Quality team (sampling, audits, acceptance criteria). Track risks of defects, lead corrective actions, and prevent recurrences.
Forecast capacity needs; schedule shifts and handoffs; align vendors and internal teams to meet volume and turnaround targets.
Build and deliver training and certification for raters/annotators and coordinators; update materials as guidelines change.
Maintain dashboards for throughput, quality, productivity, and cost; turn data into clear actions for improvement.
Ensure policy adherence on data handling, privacy, safety, and platform access; support audits and remediation.
Standardize SOPs and checklists; remove bottlenecks; pilot small changes that improve speed, quality, or cost.
Join client reviews with the Quality Manager and PMs; explain quality results, risks, and next steps.
Coach Coordinators (C2–C3) and Associate PMs (P1) on QA, workflows, and tools; support onboarding and skills growth.
Manage employee attendance, conduct individual performance reviews and support contract renewals.
Keep risk/issue logs; manage change requests that impact quality, capacity, or training; escalate high-impact items with options.