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Machine Learning Researcher

Typical $25–60/hr Worldwide Remote · worldwide coding Contract / freelance
Pay rate · Typical $25–60/hr
Typical hourly range for this type of role — the exact rate is confirmed by the hiring company.
  • Job Description
  • Machine Learning Researcher
  • Contractor
  • Remote

Job Summary

In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

Key Responsibilities

  • Lead and conduct cutting-edge research in machine learning and artificial intelligence domains.
  • Design, implement, and evaluate state-of-the-art deep learning algorithms using frameworks such as TensorFlow.
  • Collaborate closely with engineering teams to translate research breakthroughs into scalable solutions.
  • Publish research findings and contribute to the global AI/ML scholarly community.
  • Continuously monitor industry advancements to keep the team at the forefront of technological innovation.
  • Document methodologies, experiments, and results clearly for both technical and non-technical stakeholders.
  • Communicate complex concepts effectively through both written and verbal channels.

Required Skills and Qualifications

  • Expertise in designing and executing research projects in AI and machine learning.
  • In-depth experience with deep learning frameworks, especially TensorFlow.
  • Strong proficiency in Python for prototyping and algorithm development.
  • Exceptional written and verbal communication skills, with an emphasis on clear research documentation and collaborative teamwork.
  • Proven track record of working independently and delivering impactful research outcomes in remote settings.
  • Ability to evaluate, optimize, and implement advanced ML models for real-world applications.

Preferred Qualifications

  • Academic publications in top-tier AI/ML conferences or journals.
  • Experience collaborating with cross-functional, international teams.
  • Background in applying deep learning solutions to industry-specific problems.
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