2+ years of experience in backend engineering, AI automation, or complex systems integration
Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting)
Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases
Practical experience building for live, non-mocked environments and handling multi-turn system interactions.
Outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors
This is a 1099 contract opportunity on the Outlier.ai platform
You must be authorized to work in your country of residence

Manufacturing Technician - Hiring Now

Motorola Solutions

Chicago, IL 60661

3+ years related experience
Education: Associates Degree in EET, Computer Science, Electrical Engineering or related fields
Must be able to lift up to 35 lbs
PLC Basics: Understanding of Programmable Logic Controllers (e.g., Allen-Bradley, Siemens,Beckhoff) that control the physical movement of products through a test cell.
Sensors & Actuators: Troubleshooting the "eyes and hands" of thesystem-photoelectric sensors, limit switches, and pneumatic cylinders.
Robotics: Basic maintenance of 6-axis or SCARA arms (e.g., FANUC, ABB) used toload/unload devices into test fixtures.

Applied Machine Learning Engineer - ML & AI Systems

TAG - The Aspen Group

Chicago, IL 60290

Aramco

Chicago, IL 60290

You must hold a Bachelor degree in Computer Science, Data Science, Engineering, or a related field.
You should have a minimum of 15 years' experience in application development, system administration, and data management
Including 10 years of experience of implementing AI, computer vision, NLP, and LLM solutions.
5 years of experience designing and implementing AI governance and risk management programs is also required.
You must also be able to demonstrate a strong knowledge in responsible AI and AI evaluations, bias detection, data centric, Agentic AI, AIOps, data privacy by design, LLM red teaming, methodologies for explain ability and interpretability and cloud computing environments.