Weekend Ai Data Annotation Jobs (NOW HIRING)

Data Annotation

Quality Control Analyst

About Enabled Intelligence, Inc.

Enabled Intelligence, Inc. provides extremely accurate, precise and secure data labeling and AI solutions to help our government and commercial customers effectively deploy reliable and unbiased artificial intelligence technologies. We leverage the unique talents of veterans, people with different abilities, and subject matter experts to unlock the value of data to improve the delivery of public services and mission critical national security programs.  Every Enabled solution starts with a team of highly-trained, US based data analysts that have both subject-matter expertise as well as a deep understanding of the best techniques and tools for AI data annotation, model development, and testing and evaluation.    

At EI we respect and celebrate individuals from all walks of life. Our different backgrounds, cultures, experiences, and way of thinking make us stronger together and result in the most accurate and reliable AI solutions for our clients. We are extremely committed to a culture and environment where excellence can be achieved!  If the idea of working in a collaborative, energetic and people focused environment where we are working together to build something meaningful excites you, Enabled Intelligence might just be the team you are looking for!  

Data Annotation Quality Control Analyst

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.

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

Required Qualifications and Skills

• 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

Desired Qualifications and Skills

• 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

Physical Requirements

Prolonged periods of sitting at a desk and working on a computer

Background Check & Security Clearance

Applicants selected will be subject to background investigation and must meet requirements for employment.