SuperAnnotate

Solutions Engineer

• Working with account executives, lead technical pre-sales efforts to identify customer pain points and demonstrate how SuperAnnotate solutions can achieve desired outcomes.
• Recommend integration strategies, enterprise architectures, and application infrastructure required to implement a complete solution using best practices on SuperAnnotate successfully.
• Drive pilots with enterprise clients, defining success metrics, and proving technical approval on SuperAnnotate integration and adoption across large organizations.
• Provide in-depth machine learning and data expertise to support the technical relationship with SuperAnnotate’s clients, including product and solution briefings and proof-of-concept work.
• Prioritize and ideate new solutions with product development impacting client adoption of SuperAnnotate.
• Demonstrate and prototype ML workflows using SuperAnnotate with clients worldwide.
• Articulate competitive differentiation to highlight SuperAnnotate strengths.
• Build technical credibility and trust with key customer relationships to help SuperAnnotate win business.

Senior ML Solutions Engineer

Artificial Intelligence

• Define how AI Product Managers, ML teams, data scientists understand the importance of annotation, high-quality training and evaluation data, and human feedback for developing enterprise and frontier AI
• Partner with leading AI influencers, educators, and technical creators to amplify SuperAnnotate’s message
• Drive engagement at in-person events and community meetups
• Design and execute community programs, educational content, and technical narratives that help practitioners learn how human review elevates AI performance
• Build a vibrant community that champions SuperAnnotate’s pivotal role in scaling high-performing AI solutions

AI Evangelist, Community Manager

• 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.

AI Operations Manager – Senior Associate

AI Operations Manager – Senior Associate, Contract

AI Operations Manager

• 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.

Senior ML Solutions Engineer

AI Evangelist, Community Manager

AI Operations Manager – Senior Associate

AI Operations Manager – Senior Associate, Contract

AI Operations Manager

Senior Coder – AI Operations