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  • Emplois similaires à : Machine Learning Engineer (Train AI Models Part Time!)
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Machine Learning Software Engineer (Part-Time | $80 –$120/hr)Call For Referral • San Francisco, California, United States
Postuler Maintenant
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Machine Learning Software Engineer (Part-Time | $80 –$120/hr)

Call For Referral
  • US
    San Francisco, California, United States
  • US
    San Francisco, California, United States
Postuler Maintenant

À propos

Machine Learning Software Engineer (Part-Time | $80 –$120/hr) Join to apply for the
Machine Learning Software Engineer (Part-Time | $80 –$120/hr)
role at
Call For Referral .
Get AI-powered advice on this job and more exclusive features. This range is provided by Call For Referral. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range : $80.00/hr - $120.00/hr
About the Role At Mercor, we’re building the talent engine that helps leading labs and research organizations move AI forward. Our newest initiative focuses on benchmarking and improving model performance and training speed across real machine learning workloads.
If you’re an early-career Machine Learning Engineer or an ML-focused graduate student/PhD who values innovation, rigor, and meaningful impact, we’d love to meet you.
This is a
remote, asynchronous, part-time
opportunity ideal for individuals who thrive on clear structure and measurable outcomes.
What to Expect
Schedule:
Remote and asynchronous — set your own working hours
Commitment:
~20 hours per week
Duration:
Through
December 22nd , with potential extension into
2026
What You’ll Do
Draft
detailed natural-language plans and code implementations
for machine learning tasks
Convert novel ML problems into
agent-executable tasks
for reinforcement learning environments
Identify
failure modes
and apply golden patches to LLM-generated trajectories for ML tasks
What You’ll Bring
Experience:
0–2 years as a Machine Learning Engineer or graduate-level experience in Computer Science, ML, or related coursework
Required Skills:
Familiarity with ML libraries:
TensorFlow, XGBoost, scikit-learn , etc.; experience with model training, data preparation, and evaluation
Bonus:
Contributions to ML benchmarks or open-source ML tooling
Compensation & Terms
Rate:
$80–$120 per hour (based on experience and region)
Payments:
Weekly via
Stripe Connect
How to Apply
Complete the
System Design Session
( Fill out the
Machine Learning Engineer Screen
( ⚡ PS: Mercor reviews applications daily. Please complete your interview and onboarding steps to be considered for this opportunity. ⚡
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  • San Francisco, California, United States

Compétences linguistiques

  • English
Avis aux utilisateurs

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