AI Operations Manager, Super Annotate
$95-145k
+ Annual bonus paid out quarterly
Annotation platform for training AI
Be an early applicant
Annotation platform for training AI
201-500 employees
Be an early applicant
$95-145k
+ Annual bonus paid out quarterly
201-500 employees
Company mission
To accelerate the pace of AI innovation to create a smarter, safer, and more sustainable world.
Role
Who you are
- This position combines technical expertise, meticulous attention to detail, client-facing skills, and superior project management capabilities
- 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
- 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
- Solid grasp of AI/ML principles and workflows, including hands-on work with data annotation platforms
- Exceptional organizational and detail-oriented mindset
- Strong analytical and problem-solving abilities
- Excellent communication and interpersonal skills to manage client relationships and internal teams
- Bachelor’s degree in a technical field (e.g., Computer Science, Engineering, Data Science) or equivalent experience
What the job involves
- We are seeking an experienced AI Operations Manager 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
- 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
- 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
Our take
Data annotation – labelling data so that machines can understand it – is a vital process in supervised machine learning. However, the intelligent annotation of data can be a time-consuming activity, and is complicated for data in image or video format. SuperAnnotate supplies a platform to annotate, version, and manage ground truth data for AI quickly and effectively, accelerating AI pipelines and the machine learning process.
SuperAnnotate, founded in 2018, boasts the fastest annotation toolset for training AI. As well as working with text data, the platform annotates images and videos at speed through the company’s computer vision technology. It offers multi-level, comprehensive quality management to ensure its clients build the best and most true training data, and the process can be employed at scale with impressive affordability for a product in this market.
And it's making waves with some serious names on its client like, including LG and IBM. Backed by various rounds of funding too, the company is gearing up to accelerate its growth as a key player in enterprise generative AI (GenAI) dataset creation, management, and orchestration,
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Company benefits
- Health insurance and wellness
- Stock options
- Professional and personal development
- Team Events
- Referral program
Company HQ
Yerba Buena, San Francisco, CA
Leadership
Vahan Petrosyan
(Co-Founder & CEO)Earned a PhD in Machine Learning from the KTH Royal Institute of Technology. Co-founded SuperAnnotate in 2018, serving as CTO until 2023 when they became CEO.
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