Senior Project Manager Generative AI

TL;DR

Senior Project Manager (Generative AI): Oversees multi-project portfolios for AI training data programs, focusing on delivery and scale through capacity planning, vendor management, and process automation. Focus on ensuring quality consistency across projects, driving performance improvements, and collaborating with the Sr. Quality Analyst.

Location: Remote

Company

Welo Data works with technology companies to provide datasets that are high-quality, ethically sourced, relevant, diverse, and scalable to supercharge their AI models.

What you will do

• Plan and run a group of projects (collection, labeling, evaluation) end-to-end; set priorities, milestones, and handoffs across time zones.
• Run cadence (status, risk, exec updates); align scope and budget with account and operations leads.
• Forecast and secure rater/annotator capacity; balance shifts, throughput, and skills across vendors and internal teams.
• Partner with the Sr. Quality Analyst on acceptance criteria, audits, and corrective actions; keep guidelines aligned across projects.
• Identify manual steps; pilot automation with Ops Tech (templates, scripts, RPA, API-driven flows); scale what works.
• Build scalable and replicable processes for audio and video data collection projects.

Requirements

• 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; runs planning and QBR-style reviews.
• Comfortable working with global, distributed teams (intermediate to advanced English).
• Near-native English with strong writing and editorial skills.

Nice to have

• 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.
• Multilingual ability beyond English.

Culture & Benefits

• Ensure data handling, privacy, and access controls are followed across all workstreams.
• Foster team cohesion through team-building activities, conduct performance reviews, and support staffing and retention efforts.
• Maintain clear communication and updated SOPs to guide team.