Role overview
*hackajob*
is collaborating with
Mercor
to connect them with exceptional tech professionals for this role.*
At Mercor, we’re building the talent engine that helps leading labs and research orgs move AI forward. Our latest initiative focuses on benchmarking and improving model performance and training speed across real ML workloads. If you’re an early-career Machine Learning Engineer or an ML PhD who cares about innovation and impact, we’d love to meet you.
What to Expect
As a Machine Learning Engineer, you’ll tackle diverse problems that explore ML from unconventional angles. This is a remote, asynchronous, part-time role designed for people who thrive on clear structure and measurable outcomes.
- Schedule: Remote and asynchronous—set your own hours
- Commitment: ~20 hours/week
- Duration: Through December 22nd, with potential extension into 2026
What You’ll Do
- Draft detailed natural-language plans and code implementations for machine learning tasks
- Convert novel machine learning problems into agent-executable tasks for reinforcement learning environments
- Identify failure modes and apply golden patches to LLM-generated trajectories for machine learning tasks
What You’ll Bring
What we're looking for
Compensation & Terms
- Rate: $80-$120/hr, depending on region and experience
- Payments: Weekly via Stripe Connect
- Engagement: Independent contractor
How to Apply
- Submit your resume Complete the System Design Session (Fill out the Machine Learning Engineer Screen (
Why Mercor
Mercor is a talent marketplace connecting top experts with leading AI labs and research organizations. Our investors include
Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey
. Thousands of professionals across law, creative fields, engineering, and research use Mercor to work on frontier projects shaping the next era of AI.
We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.