Technical AI Operations Manager, Super Annotate
$125-175k
+ Annual bonus paid out quarterly
Annotation platform for training AI
Open for applications
Annotation platform for training AI
201-500 employees
Open for applications
$125-175k
+ 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
- Strong coding expertise in one or more popular languages (Python, Java, C++, JavaScript), with the ability to reason about unfamiliar codebases and spot issues without execution
- Track record of leading complex technical projects from planning through delivery, balancing quality, timelines, and client needs
- Skill in breaking down ambiguous requirements into clear, reproducible examples, test plans, and edge-case scenarios that guide team execution
- Solid grounding in software development best practices including version control (Git), testing, debugging, and code review
- Understanding of LLMs, AI technologies, and the GenAI landscape, with the ability to apply insights to project design and delivery
- Fluency in spoken and written English, with the ability to collaborate across time zones and communicate technical decisions to diverse stakeholders
- Calm, detail-focused problem solver with strong analytical skills, able to make thoughtful, decisive calls in fast-moving scenarios while maintaining high standards of ethics and quality
Desirable
- Experience managing distributed or contractor-heavy coding teams at scale, with the communication and leadership skills to align contributors toward shared goals
What the job involves
- As our AI Operations Manager, you’ll be at the heart of executing complex coding projects that power next-generation LLM and GenAI solutions for enterprise clients
- This isn’t just about writing code, it’s about designing coding data roadmaps, applying your technical expertise to large-scale initiatives, and leading the operational delivery of projects with 100+ global coder contractors
- You’ll ensure these projects meet the highest standards of quality, speed, and innovation while directly shaping how enterprise AI projects are brought to life at scale
- Lead execution of complex coding projects for enterprise clients, translating requirements into clear plans and deliverables
- Own operational KPIs for quality, throughput, timelines
- Manage and mentor large, distributed coding teams, fostering accountability, continuous learning, and a high-performance culture
- Oversee code quality through regular reviews, identifying improvements and ensuring best practices are followed
- Define and enforce QA protocols
- Unblock projects in real time, making decisive trade-offs on scope, resources, and risk during standups and client discussions
- Collaborate cross-functionally with product, engineering, and client stakeholders
- Drive innovation in project execution, improving processes, contractor management, and delivery methodologies over time
Application process
- Only shortlisted candidates will be contacted for an interview!
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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