welocalize

ProjectManager-GenerativeAIDataOperations

United Kingdom FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Project Manager - Generative AI Data Operations at welocalize. Skills: Quality Assurance, Workforce Planning, Process Improvement. Owns quality assurance programs. Owns workforce planning programs”

What You'll Achieve.

meet volume and turnaround targets; client outcomes; team performance; performance, compliance, and processes across multiple projects; improve speed, quality, or cost

Industry & Context.

Problems you'll solve

lead corrective actions; prevent recurrences; turn data into clear actions for improvement; resolve risks; resolve issues; resolve scope questions

Eligibility Requirements

remote environment

What They're Looking For.

Must Have

2+ years in project/operations delivery with hands-on QA and workforce planning, Experience running trainings, Coordinating multi-team delivery, Planning and organization across multiple projects, Clear communication with clients and internal, Solid use of spreadsheets, PM/task boards, Practical QA know-how, Capacity planning, scheduling, vendor coordination, Coaching for C2–C3 Coordinators and P1s, Confidently escalation and negotiation, Comfortable working with global, distributed teams

Nice to Have

basic familiarity with ETL concepts, Near-native English with writing and editorial skills, Hands-on experience with generative AI tools, Background in QA testing, rubric design, AI safety/ethics evaluation, Familiarity with data-annotation platforms, model-evaluation tools, Ability to interpret code, datasets, and system workflows at a conceptual level, Able to work independently and manage workflows effectively in a remote environment, Multilingual ability beyond English

What You'll Do.

Owns quality assurance programs

Owns workforce planning programs

Owns training programs

Improves performance across projects

Improves compliance across projects

Improves processes across projects

Partners with Senior Quality Analyst

Track risks of defects

Lead corrective actions

Forecast capacity schedule

Align vendors and internal teams

Build and deliver training

Update training materials

Maintain dashboards for throughput

Maintain dashboards for quality

Maintain dashboards for productivity

Turn data into clear actions

Ensure policy adherence

Remove pilot small changes

Explain quality results

Manage employee attendance

Conduct performance reviews

Support contract renewals

Manage change requests

Escalate high-impact items

How You'll Work.

Team & Collaboration

Partners with the Senior Quality Analyst; Works with Quality team; Align vendors and internal teams; Join client reviews with the Quality Manager; Coach Coordinators; Coach Associate PMs; Works with global, distributed teams; Influences delivery outcomes without formal line management

Communication Scope

Clear communication with clients and internal; Confident in reviews; Confident in governance forums; Confident escalation and negotiation

Process & Methodology

project delivery, planning and organization, capacity planning, scheduling, risk management, change control, scope questions

Full Job Description

If you have a Candidate Login already, but have forgotten your password please use the steps to reset your password. If you have forgotten your email login, please contact [[email protected]](mailto:[email protected]) subject Workday Candidate Login When creating your Workday account and entering personal information like name, address, please do not use ALL CAPS. Thank you! _NOTICE:_ For Privacy Policy please review [_here_](https://www.welocalize.com/security-compliance/privacy-policy/) _**Job Responsibilities:**_ Owns quality assurance, workforce planning, and training programs for AI training data delivery on multiple small projects or one large strategic project. Improves performance, compliance, and processes across multiple projects. Partners with the Senior Quality Analyst to share accountability for client outcomes and team performance. “Owns quality, workforce, and training programs that scale Generative AI data operations, driving performance, compliance, and process improvement across a project. The following is a non-exhaustive list of ** _responsibilities and areas of ownership_** for this role: * Quality Assurance: Monitor QA plans in partnership with Quality team (sampling, audits, acceptance criteria). Track risks of defects, lead corrective actions, and prevent recurrences. * Workforce Planning: Forecast capacity needs; schedule shifts and handoffs; align vendors and internal teams to meet volume and turnaround targets. * Training Programs: Build and deliver training and certification for raters/annotators and coordinators; update materials as guidelines change. * Performance Management: Maintain dashboards for throughput, quality, productivity, and cost; turn data into clear actions for improvement. * Compliance & Security: Ensure policy adherence on data handling, privacy, safety, and platform access; support audits and remediation. * Process Improvement: Standardize SOPs and checklists; remove bottlenecks; pilot small changes t

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