ML Infrastructure AI training jobs

Open AI training and model evaluation roles that call for ML Infrastructure expertise, gathered from 4 platforms. Part of Software Engineering.

44
open jobs
1
posted this week
$63/hr
median published rate
$150/hr
highest published rate
4
platforms hiring

Pay figures cover the 42 open jobs that publish an hourly rate in USD. They are published rates, not a guarantee of income. Last checked on October 8, 2026.

41 to 44 of 44 jobs
  • Software Engineering
  • Platform: Mercor
  • Location: United States

Join a network of backend engineering experts to collaborate with AI labs and cutting-edge companies on contract-based roles. You will contribute to training and evaluating AI models, creating tasks based on real-world scenarios, and providing specialized feedback to advance AI research.

Posted February 20, 2026

Talent poolRecently verified$70-150/hr

Referral link: we may earn a fee. Apply without it

  • Software Engineering
  • Platform: Mercor
  • Location: United States

Join a network of DevOps and platform engineering experts to collaborate with leading AI labs and companies. You will contribute to the training and evaluation of AI models, creating tasks based on real-world scenarios and providing specialized feedback to advance cutting-edge AI research. The roles offer flexible scheduling with typical commitments of 15 to 30 hours per week.

Posted February 20, 2026

Talent poolRecently verified$70-150/hr

Referral link: we may earn a fee. Apply without it

  • Data & Machine Learning
  • Platform: Vetto

This role is a hands-on research position focused on post-training large language models, where expert annotations are converted into training data and experimental reward signals. It suits a researcher with a PhD or equivalent experience in machine learning or a related quantitative field who can work independently and iterate fast on messy experiments.

Posted January 23, 2026

OpenRecently verifiedPay not disclosed
  • Software Engineering
  • Platform: Mercor
  • Location: United States

You will build and refine evaluations to test the performance of frontier code models by transforming pull requests into engineering tasks. You will use a proprietary evaluation framework to validate how coding agents solve complex problems, identifying real weaknesses in their implementations. This role is for software engineers with solid fundamentals, capable of navigating substantial codebases and producing rigorous evaluations.

Posted June 2, 2025

OpenRecently verified$100-120/hr

Referral link: we may earn a fee. Apply without it

See which of these jobs match your experience

Add your resume once. Every open job is scored against your profile, and we email you only when a strong match appears. Free.

Get recommended jobs

FAQ

Questions about ML Infrastructure AI training jobs

How many ML Infrastructure AI training jobs are open right now?

44 ML Infrastructure AI training jobs are open on SideHustler today. 1 was posted in the last 7 days. Listings are rechecked against the official postings: the latest check on this list was on October 8, 2026.

How much do ML Infrastructure AI training jobs pay?

Among the 42 open roles that publish an hourly rate in USD, pay runs from $20 to $150 per hour, with a median of $63. These are the rates the platforms publish, not a guarantee of income or hours.

Which platforms offer ML Infrastructure AI training jobs?

Alignerr (29), Mercor (10), micro1 (4) and Vetto (1). You apply on the platform itself, which handles screening, contracts and payment.

What skills do ML Infrastructure AI training jobs ask for most?

The most requested areas of expertise on these listings are ML Infrastructure, Backend Development, System Design, Code Quality & Review, Python. Each listing states its own requirements.

How do I apply?

Apply now opens the official posting on the platform, where you complete the application. You need no account on SideHustler. To see which roles fit your background first, add your resume and every open job is scored against your profile.