At a Glance
- Tasks: Lead data operations for AI projects, ensuring high-quality training data delivery.
- Company: TaskUs is a dynamic provider of digital services for tech companies, prioritising a People First culture.
- Benefits: Enjoy competitive salaries, comprehensive benefits, and opportunities for professional growth in a remote setting.
- Why this job: Join a fast-paced environment where innovation meets operational excellence, shaping the future of AI.
- Qualifications: 5+ years in operations management with experience in AI/ML processes and strong leadership skills required.
- Other info: TaskUs values diversity and offers equal opportunities for all applicants.
The predicted salary is between 48000 - 72000 £ per year.
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.
What We Offer: At TaskUs, we prioritise 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.
Position Summary: As the Senior Manager of AI Data Operations, you will be responsible for overseeing a variety of data collection, creation, and annotation programs that serve as the foundation for state-of-the-art AI and machine learning models. This role emphasises operational excellence, strategic leadership, and innovative thinking to ensure the delivery of high-quality training data that meets and exceeds client expectations. You will collaborate closely and directly with clients, lead diverse global teams, and shape operational strategies to drive the success of AI initiatives.
Key Responsibilities:
- Leadership in Data Operations: Own the end-to-end execution of data collection, creation, and annotation workflows across diverse data types, including text, images, audio, and video.
- Client Partnership: Collaborate with clients to define project goals, align on training data requirements, and ensure the delivery of impactful solutions for their AI and machine learning objectives.
- Quality and Scalability: Implement scalable systems and processes to ensure the highest data quality, such as golden datasets, quality assurance protocols, and advanced workflow designs tailored to complex AI/ML needs.
- Operational Excellence: Lead and develop teams of data quality specialists, annotators, and operations managers, ensuring alignment with organizational goals and KPIs.
- Strategic Problem-Solving: Address the nuances and edge cases inherent in training data projects by designing creative, flexible solutions that meet evolving client demands.
- Thought Leadership: Position TaskUs as a trusted partner and thought leader by driving innovation in training data workflows and sharing insights with clients and industry peers.
- Cross-Functional Collaboration: Work closely with sales, solutions, engineering, freelancer marketing, Data Science, and product teams to implement new methodologies, refine workflows, and achieve operational excellence.
- Continuous Improvement: Foster a culture of testing, iterating, and scaling processes, driving efficiency and consistent results.
Qualifications:
- 5+ years of experience in operations management, with a proven focus on data annotation, collection, or other AI/ML-related processes.
- Proven ability to manage large teams (50+), including multiple layers of leadership, and deliver results in fast-moving, ambiguous environments.
- Intermediate level of familiarity with SQL, Python, R, or other data analysis tools.
- Deep understanding of training data workflows, data structures, and scalable operational systems.
- Familiarity with generative AI, large language models, and traditional AI/ML processes, with a strong interest in staying current on advancements in these areas.
- Exceptional communication and leadership skills to engage effectively with clients, internal stakeholders, and global teams.
- Analytical mindset with a track record of deriving insights from complex data and implementing actionable solutions.
- Entrepreneurial spirit and a passion for solving ambiguous problems through testing, iteration, and scaling.
- Background in computer science, engineering, data science, or a related technical field.
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.
Senior Manager, AI Data Operations (Remote) employer: TaskUs
Contact Detail:
TaskUs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Manager, AI Data Operations (Remote)
✨Tip Number 1
Familiarise yourself with the latest trends in AI and machine learning. Understanding the current landscape will not only help you during interviews but also demonstrate your passion for the field, which is crucial for a role like Senior Manager, AI Data Operations.
✨Tip Number 2
Network with professionals in the AI and data operations space. Attend industry events or webinars to connect with potential colleagues or mentors who can provide insights into TaskUs and its culture, giving you an edge in your application.
✨Tip Number 3
Prepare to discuss your experience managing large teams and complex projects. Be ready to share specific examples of how you've driven operational excellence and innovation in previous roles, as this aligns closely with the responsibilities of the position.
✨Tip Number 4
Showcase your analytical mindset by being prepared to discuss how you've derived insights from data in past roles. Highlighting your problem-solving skills and ability to implement actionable solutions will resonate well with the hiring team at TaskUs.
We think you need these skills to ace Senior Manager, AI Data Operations (Remote)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in operations management, particularly in data annotation and AI/ML processes. Use specific examples that demonstrate your leadership skills and ability to manage large teams.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and data operations. Discuss how your background aligns with TaskUs's People First culture and how you can contribute to their mission of delivering high-quality training data.
Showcase Your Technical Skills: Mention your familiarity with SQL, Python, R, or other data analysis tools in your application. Provide examples of how you've used these skills in previous roles to solve complex problems or improve processes.
Highlight Your Problem-Solving Abilities: Demonstrate your analytical mindset by including examples of how you've addressed challenges in past projects. Emphasise your entrepreneurial spirit and your approach to testing and iterating solutions in fast-paced environments.
How to prepare for a job interview at TaskUs
✨Understand the Role
Make sure you have a solid grasp of what the Senior Manager, AI Data Operations role entails. Familiarise yourself with data collection, annotation processes, and how they relate to AI and machine learning. This will help you articulate your relevant experience and how it aligns with the company's needs.
✨Showcase Leadership Experience
Since this role involves managing large teams, be prepared to discuss your leadership style and past experiences. Highlight specific examples where you've successfully led teams, tackled challenges, and driven operational excellence in fast-paced environments.
✨Demonstrate Technical Knowledge
Brush up on your knowledge of SQL, Python, R, and other data analysis tools. Be ready to discuss how you've used these tools in previous roles, especially in relation to data workflows and AI/ML processes. This will show your technical competence and readiness for the role.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving skills, particularly in ambiguous situations. Think of examples where you've had to design creative solutions for complex data projects. This will demonstrate your analytical mindset and ability to adapt to evolving client demands.