Associate Project Manager- Gen AI Operations

Welo Global; Gurgaon; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Welo Data is seeking a skilled PM/Delivery Lead to manage complex AI data projects end-to-end, guiding coordinators and partnering with the Quality team to ensure successful outcomes.

You will own client relationships, budgets, and delivery milestones while driving continuous improvement and scalable processes across time zones.

Qualifications

• Bachelor’s degree or equivalent in business, data/operations, engineering, or related fields.
• 1+ years leading complex project delivery or operations (AI data, content review, annotation, labeling, or adjacent domains)
• Experience coordinating multi-team delivery and managing client touchpoints
• Strong planning and organization across parallel workstreams
• Clear written and spoken communication with senior client stakeholders
• Solid use of spreadsheets, PM/task boards, and basic BI; comfort with ETL concepts is a plus
• Quality mindset with practical use of SOPs, QA gates, and acceptance criteria
• Financial awareness (budgets, margin, change orders) and sound trade-off judgment
• Coaching ability for junior PMs and Coordinators
• Confident escalation and negotiation to resolve risks, issues, and scope questions
• 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

Responsibilities

• Execute delivery plans, milestones, resourcing, and controls for large or multi-workstream AI data projects (collection, labeling, evaluation).
• Contribute to regular governance, status, and planning sessions; handle scope, priorities, and change.
• Track budgets, rates, and margins; manage forecasts, burn, and change orders to protect profitability.
• Share accountability with the Quality Analyst team for QA approach and continuous improvement loops.
• Plan and secure rater/annotator capacity; align training, shifts, and handoffs across time zones.
• Run root-cause and corrective actions; escalated material risks with options and impact.
• Contribute to SOPs, templates, dashboards; pilot new delivery methods and services for AI data programs.
• Ensure data handling, privacy, and security policies are followed across all workstreams.
• Keep trackers and dashboards current; translate delivery data into clear, actionable insights for clients and leaders.

Skills

Project delivery

Client management

Budget awareness

Communication

Multi-team coordination

English proficiency

Remote collaboration

Coaching juniors

Risk management

Education

Bachelor’s degree

Tools

Spreadsheets

PM boards

BI basics

ETL concepts

Job description

About Welo Data

Welo Data,a WeloGlobalbrand,is the multilingual data and evaluation partner for foundation labs and enterprises deploying GenAI systems globally.Theydeliverthe humanjudgment, data infrastructure, and evaluation systems that ensure AI models perform reliably across languages, cultures, and real-world contexts, at every stage from training through deployment. Itsglobal network of 500,000+ vetted expertsspans300+ languages and locales, enabling high-quality multilingual data creation and structured model evaluation across the full spectrum of modern AI applications — from large language models and voice and speech systems to agentic workflows and robotics and embodied AI. This breadth of linguistic, cultural, and domainexpertiseenables Welo Data to address critical AI development challenges, including safety, bias, inclusivity, and cross-lingual reliability. A unified global operating model, led by specialized program and quality experts and grounded in assessment-driven talent selection, localized rubrics, and continuous calibration, ensures consistent performance across languages, domains, andmodalities.Underpinning all of this is NIMO™ (Network Identity Management and Operations), Welo Data's proprietaryidentityand fraud-prevention framework. Built tomaintaindata integrity and workforce trust across a global contributor base, NIMO combines advanced verification, continuous monitoring, and structured QA to ensure every dataset isaccurate, traceable, and culturally grounded. welodata.ai

Job Reference: #LI-JC1

Role Purpose

Manages complex, strategic AI training data projects. Owns end-to-end delivery, client relationships, and financial outcomes. Guides Project Coordinators, executes quality strategy in partnership with quality team, and drives process improvements and new service pilots. Assists in the management of complex projects that enable Generative AI capabilities for clients, guiding project coordinators and partnering with Quality on standards and continuous improvement.

Key Responsibilities

• Program & Delivery Leadership: Execute delivery plans, milestones, resourcing, and controls for large or multi-workstream AI data projects (collection, labeling, evaluation).
• Client Management: Contribute to regular governance, status, and planning sessions; handle scope, priorities, and change.
• Financial Ownership: Track budgets, rates, and margins; manage forecasts, burn, and change orders to protect profitability.
• Quality Partnership: Share accountability with the Quality Analyst team for QA approach and continuous improvement loops.
• Resource & Capacity Planning: Plan and secure rater/annotator capacity; align training, shifts, and handoffs across time zones.
• Risk, Issue & Change Control: Run root-cause and corrective actions; escalated material risks with options and impact.
• Process & Service Innovation: Contribute to SOPs, templates, dashboards; pilot new delivery methods and services for AI data programs.
• Compliance & Security: Ensure data handling, privacy, and security policies are followed across all workstreams.
• Reporting & Insights: Keep trackers and dashboards current; translate delivery data into clear, actionable insights for clients and leaders.

Requirements

Education

• Bachelor’s degree or equivalent experience in business, data/operations, engineering, or related fields

Experience

• 1+ years leading complex project delivery or operations (AI data, content review, annotation, labeling, or adjacent domains)
• Experience coordinating multi-team delivery and managing client touchpoints

Skills

• Strong planning and organization across parallel workstreams
• Clear written and spoken communication with senior client stakeholders
• Solid use of spreadsheets, PM/task boards, and basic BI; comfort with ETL concepts is a plus
• Quality mindset with practical use of SOPs, QA gates, and acceptance criteria
• Financial awareness (budgets, margin, change orders) and sound trade‑off judgment
• Coaching ability for junior PMs and Coordinators
• Confident escalation and negotiation to resolve risks, issues, and scope questions
• Comfortable working with global, distributed teams (intermediate to advanced English)

Additional Qualifications (P1+)

• 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

Scope & Autonomy (P1 Alignment)

• Assists in leading one large strategic project or several medium projects end-to-end
• Executes delivery approach within scope, budget, and policies; escalates only non‑standard or high‑impact items
• Provides day-to-day direction to a small delivery pod (e.g., 2–8 Junior PMs/Coordinators) and influences cross‑functional partners
• Shares accountability for quality outcomes with the Quality Analyst.