Project Manager - Generative AI Data Operations

Responsibilities

• Owns quality assurance, workforce planning, and training programs for AI training data delivery on multiple small projects or one large strategic project.
• Improves performance, compliance, and processes across multiple projects.
• Partners with the Senior Quality Analyst to share accountability for client outcomes and team performance.
• Monitors QA plans in partnership with Quality team (sampling, audits, acceptance criteria).
• Tracks risks of defects, leads corrective actions, and prevents recurrences.
• Forecasts capacity needs; schedules shifts and handoffs; aligns vendors and internal teams to meet volume and turnaround targets.
• Builds and delivers training and certification for raters/annotators and coordinators; updates materials as guidelines change.
• Maintains dashboards for throughput, quality, productivity, and cost; turns data into clear actions for improvement.
• Ensures policy adherence on data handling, privacy, safety, and platform access; supports audits and remediation.
• Standardizes SOPs and checklists; removes bottlenecks; pilots small changes that improve speed, quality, or cost.
• Joins client reviews with the Quality Manager and PMs; explains quality results, risks, and next steps.
• Coaches Coordinators (C2–C3) and Associate PMs (P1) on QA, workflows, and tools; supports onboarding and skills growth.
• Keeps risk/issue logs; manages change requests that impact quality, capacity, or training; escalates high-impact items with options.

Requirements

• Bachelor’s degree or equivalent experience in business, data/operations, engineering, or related fields.
• 2+ years in project/operations delivery with hands-on QA and workforce planning (AI data, content review, labeling/annotation, or adjacent domains).
• Experience running trainings and coordinating multi-team delivery.
• Planning and organization across multiple projects (quality, workforce, and training tracks).
• Clear communication with clients and internal partners; confident in reviews and governance forums.
• Solid use of spreadsheets, PM/task boards, and basic BI; familiarity with ETL concepts is a plus.
• Practical QA know-how (sampling, audits, acceptance criteria) and continuous-improvement mindset.
• Capacity planning, scheduling, and vendor coordination.
• Coaching for C2–C3 Coordinators and P1s; gives day-to-day guidance.
• Confident escalation and negotiation to resolve risks, issues, and scope questions.
• Comfortable working with global, distributed teams (intermediate to advanced English).

Preferred Qualifications

• 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

• [Benefits not specified in the job posting]

About the 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. As a Welocalize brand, WeloData leverages over 25 years of experience in partnering with the world’s most innovative companies and brings together a curated global community of over 500,000 AI training and domain experts to offer services that span:

• ANNOTATION & LABELLING: Transcription, summarization, image and video classification and labeling.
• ENHANCING LLMs: Prompt engineering, SFT, RLHF, red teaming and adversarial model training, model output ranking.
• DATA COLLECTION & GENERATION: From institutional languages to remote field audio collection.
• RELEVANCE & INTENT: Culturally nuanced and aware, ranking, relevance, and evaluation to train models for search, ads, and LLM output.

Want to join our Welo Data team? We bring practical, applied AI expertise to projects. We have both strong academic experience and a deep working knowledge of state-of-the-art AI tools, frameworks, and best practices. Help us elevate our clients' Data at Welo Data.