Operations Project Manager, AI Safety Services

About TaskUs: TaskUs is a provider of outsourced digital services and next-generation customer experience to fast-growing technology companies, helping its clients represent, protect and grow their brands. Leveraging a cloud-based infrastructure, TaskUs serves clients in the fastest-growing sectors, including social media, e-commerce, gaming, streaming media, food delivery, ride-sharing, HiTech, FinTech, and HealthTech. 

The People First culture at TaskUs has enabled the company to expand its workforce to approximately 45,000 employees globally.Presently, we have a presence in twenty-three locations across twelve countries, which include the Philippines, India, and the United States.

It started with one ridiculously good idea to create a different breed of Business Processing Outsourcing (BPO)! We at TaskUs understand that achieving growth for our partners requires a culture of constant motion, exploring new technologies, being ready to handle any challenge at a moment’s notice, and mastering consistency in an ever-changing world.

What We Offer:At TaskUs, we prioritize our employees' well-being by offering competitive industry salaries and comprehensive benefits packages. Our commitment to a People First culture is reflected in the various departments we have established, including Total Rewards, Wellness, HR, and Diversity. We take pride in our inclusive environment and positive impact on the community. Moreover, we actively encourage internal mobility and professional growth at all stages of an employee's career within TaskUs. Join our team today and experience firsthand our dedication to supporting People First.

Operations Project Manager, AI Safety Services
Turn complex AI‑data projects into on‑time, on‑budget victories.
Why this role exists
Our AI Safety Services team delivers everything from massive data‑labeling programs to model‑testing pipelines—often under aggressive deadlines. We need a hands-on Operations Project Manager who pairs classic project‑management rigor with enough technical fluency to keep engineers, annotators, and data scientists rowing in sync. Your goal: ship projects fast, at scale, and with quality clients can measure.

The impact you’ll make

• Deliver flawlessly: Hit scope, schedule, and budget targets across multiple concurrent AI‑data projects.
• Boost efficiency: Automate reporting, surface KPIs, and drive process improvements that cut cycle times and cost.
• Keep clients happy: Maintain crystal‑clear communication and documentation so stakeholders always know status, risks, and next steps.
   

What you’ll do

• Own end‑to‑end execution—from scoping and task‑template creation through annotation, model‑pipeline setup, QA, and deployment hand‑off.
• Coordinate cross‑functional teams: engineers, annotators, data scientists, GTM leads, and client stakeholders.
• Build & automate workflows: create Asana projects; script Python / SQL jobs for metrics and QC checks.
• Track & report KPIs: timelines, throughput, quality, margin, and resource utilisation—dashboards in Looker, Power BI, or Streamlit.
• Drive continuous improvement: identify bottlenecks, run retros, and implement SOP updates that scale to the next project.
• Maintain artefacts: SOWs, RACI charts, risk registers, and knowledge‑base pages that keep the team aligned.

Experiences you’ll bring

• 3–5 years managing technical projects or operations in data, AI, or software domains.
• Hands-on experience with Agile/Scrum or Kanban workflows (JIRA, Asana, Linear, or similar).
• Proven record delivering projects with distributed or remote‑first teams.
• Comfort translating between technical and non‑technical stakeholders.

Core skills you'll need

• Project‑management excellence: scoping, scheduling, risk management, and stakeholder comms.
• Lightweight scripting: Python or similar for automation, data manipulation, and report generation.
• SQL & dashboards: query data warehouses and build KPI views.
• Tool savvy: familiarity with annotation platforms (Label Studio, Labelbox) and cloud services (AWS/GCP/Azure).
• Process mindset: design SOPs/playbooks and iterate quickly based on feedback.
   

Nice to have: MLOps exposure, experience with LLM‑driven automation, or knowledge of security / compliance requirements in data operations.

Why you’ll love this role

• Front‑row seat: Work with cutting‑edge AI teams solving safety challenges most companies haven’t faced yet.
• Variety & velocity: Juggle multiple high‑impact projects, each with unique data and model workflows.
• Growth runway: Define best‑practice ops for a scaling business and step into senior‑program‑manager or operations‑lead roles.
• Mission first: Help ensure AI systems are safe, fair, and effective—in partnership with world‑class researchers and engineers.
   

Ready to turn chaos into a well‑oiled delivery machine?
Apply today and keep AI safety projects on track.

How We Partner To Protect You: TaskUs will neither solicit money from you during your application process nor require any form of payment in order to proceed with your application. Kindly ensure that you are always in communication with only authorized recruiters of TaskUs.

DEI: In TaskUs we believe that innovation and higher performance are brought by people from all walks of life. We welcome applicants of different backgrounds, demographics, and circumstances. Inclusive and equitable practices are our responsibility as a business. TaskUs is committed to providing equal access to opportunities. If you need reasonable accommodations in any part of the hiring process, please let us know.

We invite you to explore all TaskUs career opportunities and apply through the provided URLhttps://www.taskus.com/careers/.