Machine Learning Engineer
$70–$100 per hour
$70–$100 per hour
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 20–30 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: https://talent.docs.mercor.com/welcome • For any help or support, reach out to: support@mercor.com
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. Originally