UI/UX Designer - Part-Time (Mac Required) for AI Research

Mercor; San Francisco (CA); Remote; USD 28.000 - 52.000; Teilzeit

Zusammenfassung

Mercor is seeking UI/UX designers with 2–3 years of professional experience or current postgrad HCI/design students to support a research project with a leading AI lab. You will work on real product design tasks on your Mac, helping benchmark and improve AI models.

The role is part-time (10–20 hours/week) with responsibilities including completing and narrating UI/UX tasks to generate high-quality training data. Immediate start preferred.

Qualifikationen

• Own a MacBook or Mac with Apple M-series or Intel processor, macOS 15+.
• Proficiency in Figma, Sketch, Framer, or Adobe XD.
• Experience designing web or mobile interfaces, wireframes, prototypes, and design systems; familiarity with user research and usability testing is a plus.
• Pursuing or recently completed Masters, or 2-3 years of relevant experience plus a Bachelor's from a prestigious institution.
• Ability to clearly explain design decisions and demonstrate strong written and verbal communication skills.

Aufgaben

• Part-time commitment of approximately 10-20 hours per week.
• Complete and narrate real UI/UX design tasks on your Mac to create high-quality training data for advanced AI models.
• Responsibilities are clearly structured with low pressure compared to internships or full-time roles.
• Immediate start preferred.

Kenntnisse

UI/UX design

Wireframing

Prototyping

Design systems

User research

Ausbildung

Masters in HCI/design

Bachelor's degree

Tools

Figma

Sketch

Framer

Adobe XD

Jobbeschreibung

Mercor is seeking UI/UX designers with 2–3 years of professional experience or current postgrad HCI/design students to support a research project with a leading AI lab. You will work on real product design tasks on your Mac, helping benchmark and improve AI models.

The role is part-time (10–20 hours/week) with responsibilities including completing and narrating UI/UX tasks to generate high-quality training data. Immediate start preferred.