AI Data Engineer (Chicago Hybrid)

100015 AVO USA Holding 2 Corporation - Chicago, IL

Full-time - Entry Level

Chicago, IL

10,001+ employees

About the position

The position involves leading the development of datasets for training and testing mission-critical AI solutions at Motorola Solutions. The candidate will collaborate with engineering and product teams to define data specifications, optimize processes, and ensure data integrity throughout the data lifecycle. This role is crucial for enhancing the efficiency of data annotation and conversion processes, ultimately contributing to the company's mission of providing meaningful value to its customers in public safety and commercial sectors.

Responsibilities

• Own the data annotation pipeline, ensuring quality of ground truth annotations
• Gather, mine, and process raw, structured, semi-structured, and unstructured data
• Work effectively with key stakeholders to identify concrete requirements for tactical data needs, including data processing and data conversion
• Coordinate with 3rd party vendors for outsourced annotation tasks; includes the identification and communication of observed error trends
• Define, develop, and optimize annotation requirements and job design through anticipating potential failure modes, analyzing edge cases, and detecting anomalies
• Provide quality assurance on in-house and external data annotations
• Ensure data integrity through quality review and validating results against requirements
• Present annotation proposals, identify data conversion needs and implement solutions
• Develop technical and process documentation for data conversion
• Implement tools and solutions aimed towards automation and auditing

Requirements

• Bachelor's degree in Computer Science, Engineering or a relevant technical field
• Programming skills (Python preferred) to automate tasks including data conversion, ingestion, and so on
• Basic relational database (SQL or similar) skills
• Proficiency in spoken and written English

Nice-to-haves

• Experience with command-line scripting and the ability to work in a Linux environment
• Ability to prioritize tasks and operate with a high degree of autonomy
• Self-Directed and eager to take ownership and accountability for assignments
• Excellent communication and documentation skills; ability to interact with data scientists, engineers, product management, and external annotation providers
• Familiarity with Cloud offerings and machine learning basics.

Benefits

• Incentive Bonus Plans
• Medical, Dental, Vision benefits
• 401K with Company Match
• 10 Paid Holidays
• Generous Paid Time Off Packages
• Employee Stock Purchase Plan
• Paid Parental & Family Leave