Data Annotation Quality Control Analyst- St. Louis

Enabled Intelligence • St. Louis, MO

5d • Onsite

About The Position

Data annotation is an essential component in training artificial intelligence/machine learning (AI/ML) algorithms. Accuracy of the data used to train AI models is one of the biggest factors in the effectiveness of the AI performance. As a member of the Enabled Intelligence Quality Control team, your role is to help ensure our clients receive the highest quality of data. You will review data such as geospatial imagery (EO, RGB, IR, SAR), Full Motion Video, and types of documents that have been annotated to identify and correct errors such as missed objects, miss-classifications and false positives. You will be responsible for recognizing patterns and sharing this analysis with project managers and the director of Quality Delivery. Joining our team means playing an integral role for the future of government AI/ML capabilities.

Requirements

• Strong computer skills including proficiency in Excel and PowerPoint
• Strong analytical skills, visual spatial recognition, pattern recognition and attention to detail
• Ability to follow directions and meet deadlines
• Ability to communicate reliably
• Ability to be a team player and work with individuals with different communication, learning and working styles
• Ability to work independently including managing your schedule, attending all required meetings and completing projects within a deadline
• Ability to work out of the Enabled Intelligence office located in St. Louis, MO Monday-Friday during normal business hours
• Must be a US Citizen

Nice To Haves

• Previous imagery-based Data Annotation or feature extraction experience including EO, RGB, IR, SAR and/or FMV
• Previous Data Annotation Quality Control experience
• Ability to answer project questions and provide one on one performance feedback to Data Annotators
• Prior experience with business productivity tools like Microsoft Office, and/or Slack
• Highschool Degree

Responsibilities

• Use advanced analytic tools to review data (EO, RGB, IR, SAR, FMV) that has been annotated to identify and correct errors such as missed objects, miss-classifications and false positives
• Diligently track and analyze patterns of errors and keep Project Managers and the Director of Quality Delivery up to date
• Process project data according to established procedures and guidelines
• Provide feedback and ideas on process improvements or concerns that may impact project performance

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: High school or GED