Remote Applied Machine Learning & Deep Learning Systems Engineer (Distributed Contract Opening)

MegaHired invites qualified professionals to apply for our remote Remote Applied Machine Learning & Deep Learning Systems Engineer (Distributed Contract Opening) opportunity ($80 - $150/hour). You will leverage hands-on experience in Machine Learning to audit AI-generated solutions, pinpoint reasoning gaps, and construct authoritative reference responses.

Core Project Workflow

• Relevant tools may include:
• NumPy and SciPy
• Hugging Face Transformers
• Hugging Face Tokenizers
• Equivalent tools may also be considered when the candidate demonstrates directly relevant depth.
• Experience at a well-established technology company, AI laboratory, research organization, or other recognized engineering environment is strongly preferred. Exceptional open-source or academic experience may also qualify.
• Construct and verify machine-learning models, training pipelines, inference systems, and supporting infrastructure.

Required Technical & Domain Mastery

• We typically fill roles within 48 hours and are looking for experts who are ready to begin immediately. If selected, you will be expected to start your first task within 24–48 hours of completing onboarding.
• Compensation Band: $80 - $150/hour
• Work Location: Remote (100% Remote / Asynchronous Flexibility)
• Available Openings: 100 open positions
• Core Competencies: Machine Learning
• Apply to the role and complete the screening questions.
• Complete an AI interview of approximately 30 minutes.

Compensation Summary

• Compensation Rate: $80 - $150/hour (contract specialist remuneration)
• Work Arrangement: 100% Remote / Work From Home
• Eligible Remote Countries: United States, United Kingdom, Canada, Australia, New Zealand, Ireland, and South Africa
• Core Competencies: Machine Learning
• Hiring Agency: MegaHired

Direct Application Process: Click the Apply button on this page to proceed directly to our partner application portal and submit your profile for immediate consideration.