Machine Learning Engineer
$70 - $100 per hourFull-time
Mercor
Role Description
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
- 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.
Requirements
- Prior experience with data annotation, labeling, evaluation, or human feedback collection.
- Experience with LLMs, AI systems, or agentic workflows; familiarity with agentic frameworks.
Benefits
- Compensation: $70–$100/hour
- Location: Remote
- Commitment: 40 hours/week
Application Process
- Upload resume
- AI interview based on your resume
- Submit form
Resources & Support
- For details about the interview process and platform information, please check: Interview Process
- For any help or support, reach out to: View email address on remotive.com
Vacancy posted 17 hours ago
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