Artificial Intelligence Researcher

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