joblaze

AI & ML Engineering Coach

Coach students and early-career candidates in AI and machine learning, helping them prepare for recruiting and build strong portfolios.

Location

Remote - USA

Compensation

Not disclosed

Level

Not specified

Type

freelance · Remote

Posted by employer 7 months ago

First seen on Joblaze 2 months ago

Last verified on the company career page 7 hours ago

Apply at Leland → Save job Scanned from joinleland.com

Skills & Technologies

AI/ML

Not disclosed in this posting: compensation, seniority, years of experience, visa sponsorship.

Benefits

Remote Work

Joblaze summary

In this role, the AI & ML Engineering Coach provides mentorship to students and early-career professionals, focusing on resume reviews, technical interview prep, and project guidance. Candidates should have hands-on experience with production-level machine learning systems and the ability to convey complex concepts clearly. This position is ideal for seasoned professionals looking to share their expertise in a dynamic, collaborative environment. Leland emphasizes a culture of ambition and impact, making it a fitting choice for those eager to contribute to the growth of aspiring talent.

Joblaze insights

Listed about 2 months ago — first seen on Joblaze September 3, 2026. Last confirmed on Leland's careers page November 4, 2026.
AI/ML appears in 41.3% of 3351 comparable ai/ml roles.

Quick facts

Is the AI & ML Engineering Coach role remote?: Yes — Leland lists this as a fully remote position.
What's the tech stack?: Joblaze extracted these technologies from the posting: AI/ML.
Is this full-time or contract?: Freelance for this AI & ML Engineering Coach role at Leland.

From the original posting

We’re seeking AI & ML Engineers at well-known companies to coach students and early-career candidates pursuing roles in AI and machine learning. Coaches help mentees prepare for recruiting through resume reviews, technical interview preparation, and guidance on building strong projects and portfolios. Ideal candidates have experience working on production-level ML systems, models, or infrastructure at leading companies and can clearly explain both the fundamentals and real-world application of AI/ML. Coaches set their own hours and rates, host sessions virtually, and partner with our team to deliver a high-quality coaching experience.