Machine Learning Engineer
๐ข mercor ยท all mercor jobs
๐ United States
๐
Posted 2026-08-15 ยท via Himalayas
๐ท AI-ML-Engineer,Software-Engineer,Machine-Learning-Engineering,AI-Data-Science,Data-Science,AI-Research,Lead-Machine-Learning-Engineer,AI-Machine-Learning-Engineer,Senior-ML-Engineer,Machine-Learning-Engineer
Apply on original site โAbout the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .
Position: Expert Professionals โ AI & Data Science
Type: Contract
Compensation: $70โ$100/hour
Location: Remote
Commitment: 40 hours/week
Role Responsibilities
- Guide research and engineering teams to close knowledge gaps in AI and data science domains. Surface nuances that distinguish expert-level work from surface-level reasoning.
- Design challenging agentic tasks rooted in real-world ML , data science , data engineering , and software workflows. Write accurate, well-documented solutions that serve as ground truth.
- Evaluate AI agent outputs against your solutions. Provide detailed written feedback capturing correctness, efficiency, and reasoning quality.
- Develop and refine evaluation frameworks and rubrics for assessing agentic behavior on AI and data science tasks.
- Collaborate with other subject matter experts to ensure consistency and accuracy in training data.
Qualifications
Must-Have
- 3+ years of research, academic, or industry experience in Machine Learning , Data Science , Software Engineering , Computer Science , Statistics , Biology , Electrical/Mechanical/Civil Engineering , Physics , Chemistry , Mathematics , Materials Science , or other STEM background.
- Demonstrated technical expertise in programming, data analysis, ML modeling , statistical methods, or computational methods.
- Ability to commit to 40 hours per week during weekdays for the duration of the engagement.
- Strong written communication skills and the ability to explain technical decisions clearly.
Preferred
- Prior experience with data annotation, labeling, evaluation, or human feedback collection.
- Experience with LLMs , AI systems , or agentic workflows; familiarity with agentic frameworks.
Application Process (Takes 20โ30 mins to complete)
- Upload resume
- AI interview based on your resume
- Submit form
Resources & Support
- For details about the interview process and platform information, please check:
- For any help or support, reach out to:
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Originally posted on Himalayas