Associate Project Manager - Generative AI Data Operations

Welo Global; United States; Remote; USD 110,000 - 170,000; Full time

Job summary

Welo Global seeks an experienced portfolio leader to oversee AI training data programs across multiple projects. You will drive delivery, capacity planning, and process automation while ensuring quality and governance across vendors and internal teams.

You will partner with Sr. Quality Analyst and senior stakeholders to optimize budgets, timelines, and risk mitigation, while coaching junior PMs and coordinating recruitment and onboarding efforts across global teams.

Qualifications

• Bachelor’s degree or equivalent 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.
• Experience with capacity planning, vendor coordination, and quality systems; familiarity with process automation is a plus.

Responsibilities

• Portfolio delivery: plan and run a group of projects end-to-end across time zones.
• Governance & reporting: cadence of updates; align scope and budget with leads.
• Capacity planning: forecast and secure rater/ annotator capacity; balance throughput across vendors.
• Quality consistency: work with Sr. Quality Analyst on acceptance criteria and audits.
• Process automation & tooling: identify manual steps; pilot automation and scale successful efforts.
• Vendor management: set SLAs and drive improvements.
• Financial control: track budgets, burn, and margins; manage change orders.
• Risk, issue & change: lead root-cause analyses and action plans.
• Client and stakeholder management: lead planning and QBR-style reviews.
• Team enablement: coach P1 PMs and coordinators on planning, QA, and tools; support onboarding.
• Compliance & security: ensure data handling, privacy, and access controls are followed.
• People management: gather feedback, training, and staff development; coordinate onboarding/offboarding with HR.
• Collaboration with Recruitment: communicate requirements and statuses; evaluate and select candidates from recruiters.

Skills

Portfolio delivery

Governance

Capacity planning

Quality management

Process automation

Vendor management

Financial control

Risk management

Stakeholder management

Team coaching

Compliance & security

People management

Recruitment collaboration

Education

Bachelor’s degree in business, operations, data/engineering

Tools

SQL/ETL

Spreadsheets

PM tools

BI tools

Job description

Job Responsibilities:

Oversees multi-project portfolios for AI training data programs. Leads delivery and scale: capacity planning, vendor management, and process automation. Ensures quality is consistent across projects, drives performance improvements, and plans work jointly with the Sr. Quality Analyst. Oversees a portfolio of programs that deliver and scale Generative AI data operations, including capacity planning, vendor management, and process automation.”

Key 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. QualityAnalyst on acceptance criteria, audits, and corrective actions; keep guidelines aligned across projects.


• Process automation & tooling: Identifymanual 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; elevate 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 P1 PMs and C2–C3 Coordinators on planning, QA, and tools; support onboarding and skills growth (no formal line managementrequired).


• Compliance & security: Ensure data handling, privacy, and access controls are followed across all workstreams.
  


• People Management: Gather feedback, provide training and coaching, foster team cohesion through team-building activities, conduct performance reviews, and support staffing and retention efforts. Additionally, collaborate withPST, Finance and recruiters for onboarding, offboarding, and addressing employee needs, while maintaining clear communication and updated SOPs to guide team.


• Collaboration with Recruitment: Work closely with the recruiting team to manage hiring efforts by communicating requirements (e.g., language needs), upcoming projects, and candidate statuses. Review, evaluate, and select qualified candidatesfrom recruiters and decide on next steps (e.g., assessments, interviews, or client presentation).

Additional Job Details:

Education

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

Experience

• 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

Skills

• 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 P1 PMs and C2–C3 Coordinators


• 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 codingrequired)


• Able to work independently and manage workflows effectively in a remote environment


• Multilingual ability beyond English

Scope & Autonomy (P3 Alignment)

• Owns outcomes for a portfolio of small/medium projects or a large multi-workstream program


• Works independently; defines delivery approach and engages leaders for non-standard items


• Joint planning and shared responsibility for quality and client outcomes with the Sr. QualityAnalyst