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
Because this is a freelance opportunity, we do not offer internships, sponsorship, or employment
You must be authorized to work in your country of residence

Lead Machine Learning Engineer

Disney Entertainment Television Careers

New York, NY 10025

Principal Product Manager

UVEye

New York, NY 10060

10+ years proven experience in Product Management and R&D;, with a track record of driving products from initial MVP to scaled market adoption in high-growth ecosystems.
Deep technical fluency with a hands-on approach to modern development, including: Modern IDEs & Tools: Proficient with Visual Studio Code and Cursor.
Expert-level use of LLM-based coding agents and AI-assisted development to accelerate prototyping.
AI-Native Workflows: Full-Stack Fundamentals: Strong grasp of both Backend and Frontend architecture to guide technical decision-making.
Advanced experience in product discovery workflows and UX design principles, ensuring a seamless bridge between complex technology and user-centric value.
Revenue-Driven Mindset: Demonstrated ability to translate product features and platform capabilities into measurable business impact and revenue growth.
Exceptional communication skills with the ability to navigate complex stakeholder landscapes, influencing engineers, executives, and external partners without formal authority.
A high-autonomy "owner" mindset, comfortable leading through ambiguity and taking full accountability for end-to-end outcomes.
Ideally, we're looking for:
Experience building and scaling products from the ground up in startup or high-growth environments.
Experience working in the automotive industry or adjacent, highly technical domains.