Senior Project Manager - Generative AI Data Operations at Welocalize

Mexico

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Data Annotation, TechnologyIndustries

Requirements

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
Portfolio planning and governance across several projects at once
Clear communication with senior clients and internal leaders; runs 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 PMs and Coordinators
Comfortable working with global, distributed teams (intermediate to advanced English)

Responsibilities

Portfolio delivery: Plan and run a group of projects (collection, labeling, evaluation) end-to-end; set priorities, milestones, and handoffs across time zones
Governance & reporting: Run cadence (status, risk, exec updates); align scope and budget with account and operations leads
Capacity planning: Forecast and secure rater/annotator capacity; balance shifts, throughput, and skills across vendors and internal teams
Quality consistency: Partner with the Sr. Quality Analyst on acceptance criteria, audits, and corrective actions; keep guidelines aligned across projects
Process automation & tooling: Identify manual steps; pilot automation with Ops Tech (templates, scripts, RPA, API-driven flows); scale what works
Vendor management: Set expectations, SLAs, and playbooks; review performance and drive improvements or changes as needed
Financial control: Build and track budgets, burn, and margins; manage change orders to protect financial outcomes
Risk, issue & change: Lead root-cause and action plans; escalate high-impact items with options and impact
Client and stakeholder management: Lead planning and QBR-style reviews; explain results, risks, and next steps in clear terms
Team enablement: Coach PMs and Coordinators on planning, QA, and tools; support onboarding and skills growth (no formal line management required)
Compliance & security: Ensure data handling, privacy, and access controls are followed across all workstreams

Skills

Key technologies and capabilities for this role

Project ManagementGenerative AIData OperationsCapacity PlanningVendor ManagementProcess AutomationAI Training DataAnnotationLabellingPrompt EngineeringRLHFData CollectionQuality Assurance

Questions & Answers

Common questions about this position

What is the employment type for this Senior Project Manager role?

This is a full-time position.

Is this Senior Project Manager role remote or office-based?

This information is not specified in the job description.

What are the key responsibilities for this role?

Key responsibilities include portfolio delivery across collection, labeling, and evaluation projects; capacity planning; vendor management; quality consistency with the Sr. Quality Analyst; process automation; financial control; risk management; client stakeholder management; and team enablement.

What is the company culture like at Welo Data?

This information is not specified in the job description.

What makes a strong candidate for this Senior Project Manager position?

Strong candidates will have experience overseeing multi-project portfolios in AI training data operations, with skills in capacity planning, vendor management, process automation, quality assurance, financial control, and stakeholder communication across time zones.

Welocalize

Provides AI-driven content localization services

About Welocalize

Welocalize assists businesses in enhancing customer engagement by providing localized content that meets the cultural and linguistic needs of different regions. Their AI-enabled Service Delivery Platform, OPAL, streamlines the translation and approval processes, allowing companies to reduce costs and improve efficiency. Unlike competitors, Welocalize leverages AI and automation to deliver services more effectively, resulting in better business outcomes for clients. The company's goal is to empower businesses to connect with international customers through advanced localization solutions.

New York City, New YorkHeadquarters

1997Year Founded

$33.1MTotal Funding

GROWTH_EQUITY_VCCompany Stage

Enterprise Software, AI & Machine LearningIndustries

1,001-5,000Employees

Benefits

Accident Insurance

Critical Illness Insurance

Hospital Indemnity Insurance

Telemedicine Benefit

Paid Sick Time

Paid Holidays

Employee Assistance Program

Mileage Reimbursement

Medical Insurance

Dental Insurance

Vision Insurance

Health Savings Account/Flexible Spending Account

Voluntary Life Insurance

401(k) Retirement Plan

Risks

Competition from AI-driven tools like DeepL and Google Translate threatens market share.

Rapid AI advancements may commoditize basic translation services, pressuring differentiation.

Economic uncertainties in key industries could reduce spending on localization services.

Differentiation

Welocalize's OPAL platform uses AI to streamline translation and content adaptation processes.

The company offers specialized linguistic validation services for clinical trials and healthcare.

Welocalize's TranslationRater™ plugin for ChatGPT enhances translation quality assessment capabilities.

Upsides

Growing demand for AI-driven localization boosts Welocalize's market opportunities.

Rising interest in multilingual e-learning aligns with Welocalize's expertise.

Healthcare sector's AI integration offers new service expansion opportunities for Welocalize.

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