Remote Machine Learning Engineer - AI Trainer ($100-$120 per hour)
MercorSpringfield, Illinois, US
Remote
Full-time
Mercor is 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 contri...Show moreLast updated: 11 days ago
Argonne National LaboratorySpringfield, IL, United States
Full-time +1
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Full-time +1
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Speech & Language Pathologist - Hope Learning Academy
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Full-time
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Engineer, Pr
Standard AeroSpringfield, IL, United States
Full-time
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Senior Learning Designer - IT Associate Skilling
Humana IncSpringfield, IL, United States
Full-time
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TradeJobsWorkForce62563 Rochester, IL, US
Full-time
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Structural Engineer
Hampton, Lenzini and Renwick, Inc.Springfield, IL, USA
Full-time
Quick Apply
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Dean, The Learning Center.
Lincoln Land Community CollegeSpringfield, IL
Full-time
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MAINTENANCE SUPPORT ENGINEER (CIVIL ENGINEER VI)
IllinoiscomptrollerSpringfield, IL, United States
Full-time +1
MAINTENANCE SUPPORT ENGINEER (CIVIL ENGINEER VI) We continually strive for a workforce that reflects the growing diversity within the State of Illinois.
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Remote Machine Learning Engineer - AI Trainer ($100-$120 per hour)
MercorSpringfield, Illinois, US
11 days ago
Job type
Full-time
Remote
Job description
Mercor is 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