Manage AI data projects from consultation to delivery, ensuring quality and timely execution while optimizing resources and client communication.
About SuperAnnotate
SuperAnnotate is a fast-growing, Series B startup revolutionizing the field of AI-data Infrastructure. We specialize in providing cutting-edge data pipeline solutions for Machine Learning, LLM, and GenAI solutions to large enterprise clients, helping them leverage the power of AI to transform their businesses. SuperAnnotate has a fully customizable platform for building annotation tools and workflows that AI projects demand—while unifying the management of all teams, vendors, and data in one place. We’re very proud to have products that are loved by our customers, resulting in us being listed as the highest-ranked platform on G2.
The Impact You'll Make
We are seeking an experienced AI Operations Manager (or Senior Associate) to oversee and drive the execution of AI data projects. In this role, you will manage the entire lifecycle of data creation projects for enterprise clients, from initial client consultation through final delivery. This position combines technical expertise, meticulous attention to detail, client-facing skills, and superior project management capabilities.
You will act as the central point of contact for clients and internal teams, ensuring projects are well-defined, resources are optimized, and outputs meet the highest standards. The ideal candidate brings a solid technical background to effectively assess project needs, ensuring the right level of expertise is allocated while maintaining a deep focus on quality and deadlines.
What You'll Do
- Lead and manage AI data creation projects day-to-day, ensuring timely and successful delivery for enterprise clients.
- Develop detailed project plans, including workflows, timelines, milestones, and resource allocation.
- Monitor project scope, communicate changes, and ensure alignment with client expectations.
- Collaborate with the hiring team to hire, onboard, and manage annotators to ensure they meet project-specific requirements.
- Guide teams to ensure proper technical setup and workflow execution.
- Communicate technical requirements and challenges effectively between annotators, clients, and internal teams.
- Conduct regular spot checks and quality reviews of output to ensure data meets client standards.
- Implement processes to track and improve quality metrics.
- Continuously refine workflows and tools to enhance efficiency and deliver optimal outcomes.
What You'll Bring
- 3–5 years managing complex, client-facing projects in fast-paced environments, preferably in AI, data annotation, or related fields.
- 2+ years in a technical solutions, sales engineering, or customer-facing role within Professional Services or Systems Engineering.
- Experience with coding and querying languages such as Python and SQL to conceptualize project requirements.
- Excellent English communication skills (both written and spoken), with the ability to clearly manage client relationships and collaborate effectively with internal teams.
- Solid grasp of AI/ML principles and workflows.
- Exceptional organizational and detail-oriented mindset.
- Strong analytical and problem-solving abilities.
- Bachelor’s degree in a technical field (e.g., Computer Science, Engineering, Data Science) or equivalent experience.
Nice To Have
- Experience managing large-scale AI/ML data creation projects.
- Familiarity with data quality metrics and processes for AI training datasets.
- Knowledge of large language models (LLMs) or other advanced AI technologies.
Only shortlisted candidates will be contacted for an interview!
Equal Opportunity
We are an equal-opportunity employer and value diversity at our company. At SuperAnnotate diversity means to us making an effort to reflect the many experiences and identities of the outside world, and treating each other with fairness and without bias. Every day we foster an environment where people of all backgrounds not only belong, but excel to succeed as a company and grow together. We offer equal opportunity regardless of sex, sexual orientation, national origin, color, race, age, marital status, disability, gender identity, veterans and more.
Top Skills
Python
SQL
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