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Machine Learning Expert; Remote

Remote / Online - Candidates ideally in
College, Fairbanks North Star Borough, Alaska, USA
Listing for: Synthires
Part Time, Remote/Work from Home position
Listed on 2026-10-29
Job specializations:
  • Research/Development
    AI Business & Operations, Data Scientist, AI Evaluation
Salary/Wage Range or Industry Benchmark: 150 - 200 USD Hourly USD 150.00 200.00 HOUR
Job Description & How to Apply Below
Machine Learning Expert (Remote | $150–$200/hr)

Description:

Machine Learning Expert (Remote | $150–$200/hr)

Position: Machine Learning Expert

Type: Hourly Contract

Compensation: $150–$200 per hour

Location: Remote

About the Opportunity

This opportunity is for experienced machine learning research engineers, research scientists, and applied scientists to contribute challenging machine learning engineering task ideas for a long-horizon AI research project with a leading AI lab. The focus is on designing problems that test the limits of frontier AI models, particularly in inference, evaluation, and systems engineering.

Key Responsibilities

  • Develop ideas for challenging machine learning engineering tasks for an AI research project.
  • Design problems that are difficult for frontier models to solve consistently.
  • Focus on inference, evaluation, and systems engineering, with tasks involving both GPU and CPU workloads.
  • Explain clearly why each proposed problem is challenging for advanced AI models.
  • Contribute task concepts without needing to build or review the tasks themselves.

Required Qualifications

  • Current or recent experience as an ML research engineer, research scientist, or applied scientist.
  • Hands-on experience personally training, fine-tuning, or optimizing models using PyTorch or JAX.
  • Deep knowledge of at least one of the following areas:
  • Large language models (LLMs), including pretraining, alignment, and evaluations.
  • GPU inference and performance, including vLLM, Triton, CUDA, or profiling.
  • Reinforcement learning (RL).
  • Scientific machine learning, including weather, climate, physics, or biology.
  • Ability to explain why specific machine learning problems are difficult for frontier models.

Preferred Qualifications

  • Experience developing benchmark or evaluation questions.
  • PhD in machine learning, computer science, or physics, or an MSc with strong research output.
  • Relevant research publications.
  • Previous Mercor contract experience with strong performance.

Compensation

  • $150–$200 per hour.
  • Remote hourly contract engagement.
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