We are seeking a highly analytical, detail-oriented, and proactive professional to oversee
real-time computer vision data labeling operations in Zagreb, Croatia. This role is responsible for defining and tracking KPIs, analyzing performance and quality metrics, reporting results to
stakeholders, and supervising a team performing real-time labeling for computer vision use
cases. The ideal candidate is flexible, communicative, and comfortable working with online
IT systems in a fast-paced environment.
 

About us:
SAFR from RealNetworks is a unified ecosystem specializing in face-based computer vision solutions optimized for real-world performance. Building on a legacy of digital media expertise and innovation, RealNetworks has created a new generation of products that employ best-in-class artificial intelligence and machine learning to enhance and secure our daily lives.

Your responsibilities:

• Define, establish, and continuously improve KPIs for computer vision labeling
• operations
• Monitor, analyze, and report on labeling performance, quality, throughput, and
• accuracy
• Supervise, mentor, and coordinate a team of real-time computer vision labeling
• specialists
• Ensure labeling quality, consistency, and adherence to computer vision annotation
• guidelines
• Prepare and present operational insights and performance reports to stakeholders
• Proactively identify risks, bottlenecks, and process improvement opportunities
• Collaborate with cross-functional teams (e.g., engineering, data science, QA)
• Maintain operational documentation and workflows using Confluence
• Track tasks, issues, and progress using Jira
• Work with online IT systems and annotation tools supporting computer vision
• workflows

Qualifications:

• 4+ years of relevant professional experience in operations, analytics, quality
• management, or a related field
• Strong analytical skills with experience translating data into actionable insights
• High attention to detail and strong organizational skills
• Proven experience defining, tracking, and reporting KPIs
• Experience supervising or leading teams in operational environments
• Excellent written and verbal communication skills, including presenting results to
• stakeholders
• Hands-on experience with Confluence and Jira
• Experience working with online IT systems and data or workflow management tools

• Experience with computer vision data annotation (e.g., bounding boxes, polygons,
• segmentation, keypoints)
• Familiarity with computer vision datasets, quality metrics, or ML pipelines
• Experience managing real-time or high-throughput labeling operations

• Analytical and data-driven mindset
• Detail-oriented with a strong quality focus
• Proactive, solution-oriented approach
• Flexible and adaptable in dynamic environments
• Strong leadership, communication, and stakeholder management skills

 Why join us:

If you want to work on a project that is a cutting edge of artificial intelligence, gaining invaluable experience in an international company while cooperating with some of the best minds in AI industry, join us!

We look forward to meeting you!