Worlds AI Analyst

Key Responsibilities

AI Model Development & Training

· Train and validate AI models, ensuring high accuracy and performance.

· Identify and resolve discrepancies in model performance.

· Prepare training datasets, including video samples of objects, people, and vehicles.

· Develop and implement a concise yet flexible labeling strategy to support multiple customer use cases.

· Conduct real-time performance testing to validate model accuracy and effectiveness.

Data Analysis & Performance Monitoring

· Analyze system results to provide insights and recommendations for AI model improvements.

· Conduct visual audits of live data to ensure performance meets statistical thresholds.

· Work with system administrators to expand camera and sensor inputs, define smart zones, and establish geo-spatial data.

Customer Collaboration & Support

· Engage with business units and end-users to develop AI-powered solutions for real-world problems.

· Build and maintain positive relationships with customers, ensuring satisfaction and alignment with business goals.

· Collaborate with Worlds support and escalation teams to address solution quality and performance.

Systems Integration & Administration

· Work with IT and third-party integrators to monitor and manage system integration using the Worlds API or customer-specific APIs.

· Oversee device configuration and availability of sensory environments, including cameras and sensors.

· Develop comprehensive documentation on system setup, configuration, taxonomy, functionality, and integrations.

Required Skills and Qualifications

Technical Skills:

· Minimum 1 year of relevant experience as a business or operations analyst.

· Experience with data (image and video) annotation tools and techniques.

· Familiarity with video file formats (mp4, .asf, .mov, .avi, .wmv), compression and codecs (H.264, H.265) and video management and editing software.

· Familiarity with machine learning concepts and labeling processes.

· Proficiency in reporting & analytics tools (Excel, Power BI, Tableau).

Analytical Skills:

· Strong problem-solving and critical-thinking abilities, with a track record for improving efficiency and effectiveness of systems.

· Ability to manage multiple projects in a fast-paced environment.

Soft Skills:

· Excellent communication and interpersonal skills.

· High emotional intelligence and ability to work cross-functionally.

· Ability to balance attention to detail at the right level while maintaining a high pace.

The above statements are intended to describe the general nature and level of work performed by employees assigned to this job. They are not intended to be an exhaustive list of all duties, responsibilities, and qualifications.

Preferred Qualifications:

· Experience in machine learning labeling and data quality review tools.

· Exposure to AI/ML model training and validation methodologies.

· Bachelor’s degree or equivalent experience.

· Preference for candidates with relevant education, certifications, or experience in AI, machine learning, or analytics.

· Strong desire for continuous learning and adapting to new technologies.

Benefits

· 100% employer-paid medical coverage for employees and dependents.

· Comprehensive benefits including dental, vision, 401(k), and disability coverage.

· Employee stock options for long-term growth potential.

Must be a U.S. citizen with a valid driver's license and passport.