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Machine Learning Engineer - Remote

Remote / Online - Candidates ideally in
Austin, Delta County, Colorado, 81410, USA
Listing for: YO IT Consulting
Contract, Remote/Work from Home position
Listed on 2026-03-05
Job specializations:
  • Engineering
    AI Engineer
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below
Location: Austin

Engagement Type: Independent Contractor

Work Mode: Fully Remote

Contract Type: Project-Based (Short-Term, Extendable)

Role Overview

Collaborating with a leading AI research lab to support the evaluation of advanced machine learning systems. We are seeking experienced machine learning engineers and researchers to contribute to the design of high-quality evaluation suites that measure AI performance on real-world machine learning engineering tasks. The work focuses on translating practical ML research and engineering workflows into structured benchmarks for frontier models.

This is a project-based, remote opportunity suited for experts with hands‑on ML research experience.

Key Responsibilities
  • Design and write detailed evaluation suites for machine learning engineering tasks
  • Assess AI-generated solutions across areas such as model training, debugging, optimization, and experimentation
Ideal Qualifications
  • 3+ years of experience in machine learning engineering or applied ML research
  • Hands‑on experience with model development, experimentation, and evaluation
  • Background in ML research (industry lab or academic setting strongly preferred)
  • Strong ability to reason about ML system design choices and tradeoffs
  • Clear written communication and high attention to technical detail

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

Contract and Payment Terms
  • You will be engaged as an independent contractor.
  • This is a fully remote role that can be completed on your own schedule.
  • Projects can be extended, shortened, or concluded early depending on needs and performance.
  • Your work at will not involve access to confidential or proprietary information from any employer, client, or institution.
  • Payments are weekly on Stripe or Wise based on services rendered.
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