Associate Project Manager – Generative AI Data Operations

🕒 July 27

⛩ Asia – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

👷‍♀️ Project Manager

👻 Ghost score 35%

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Welocalize

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💼 Consulting

🏥 Healthcare

⚖️ Legal

Consulting • Healthcare • Legal

Welocalize is a leader in providing enterprise language services and AI-powered translation solutions. Known for its OPAL platform, Welocalize offers fit-for-purpose global content delivery, enabling stronger engagement and revenue for its clients. Specializing in AI-enabled service delivery, OPAL leverages machine translation engines and natural language processing to automate and optimize translations across various industries, including legal, medical, and technological sectors. Welocalize supports multiple content use cases such as marketing localization, software testing, and multilingual SEO, catering to a diverse range of industry needs. Additionally, Welocalize's commitment to AI innovation is emphasized by its new brand Welo Data, providing high-quality training data for AI development, further strengthening its position as a trusted partner for global enterprises.

📋 Description

• Oversee multi-project portfolios for AI training data programs • Lead delivery and scale through capacity planning, vendor management, and process automation • Plan and run collection, labeling, and evaluation projects end-to-end • Set priorities, milestones, and handoffs across time zones • Run status, risk, and executive reporting cadences • Align scope and budget with account and operations leads • Forecast and secure rater/annotator capacity across vendors and internal teams • Partner with the Sr. Quality Analyst on acceptance criteria, audits, corrective actions, and guideline alignment • Identify manual steps and pilot or scale automation with Ops Tech • Set vendor expectations, SLAs, and playbooks; review performance and drive improvements • Build and track budgets, burn, and margins; manage change orders • Lead root-cause analysis and action plans; escalate high-impact risks and issues • Lead client planning and QBR-style reviews • Coach P1 PMs and C2–C3 Coordinators on planning, QA, and tools without formal line management • Ensure data handling, privacy, and access controls are followed • Gather feedback, provide training and coaching, foster team cohesion, conduct performance reviews, and support staffing and retention • Collaborate with PST, Finance, and recruiters on onboarding, offboarding, employee needs, and SOPs • Collaborate with Recruitment on hiring requirements, candidate evaluation, assessments, interviews, and client presentations

🎯 Requirements

• Bachelor’s degree or equivalent experience in business, operations, data/engineering, or similar • 2–3 years leading multi-project portfolios or large multi-workstream programs in AI data, content review, labeling/annotation, or related fields • Background in capacity planning, vendor coordination, and quality systems • Experience piloting or scaling process automation is a plus • Portfolio planning and governance across several projects at once • Clear communication with senior clients and internal leaders; ability to run planning and QBR-style reviews • Strong use of spreadsheets, PM/task boards, and basic BI • Familiarity with SQL/ETL concepts is a plus • Sound judgment on scope, time, cost, and quality trade-offs • Negotiation and escalation to resolve risks, issues, and change • Coaching mindset; guides P1 PMs and C2–C3 Coordinators • Comfortable working with global, distributed teams • Intermediate to advanced English • 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

🏖️ Benefits

• Remote work environment • Team-building activities • Training and coaching • Onboarding and skills growth support