Role overview

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.

Responsibilities

Guide research and engineering teams to close knowledge gaps in AI and data science domains.
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 and provide detailed written feedback.

Key facts

Remote from: New York (USA)
Full time
Senior (5-10 years)
Machine Learning Engineer
English

Hard skills

Machine Learning Data Science Software Engineering Computer Programming Data Modeling Statistical Methods Computational Modeling Annotation Processing Multi-Agent Systems Agent-Based Model Online Communication

About the company

Mercor

Company details

Links

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Job description

About 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 — AI & Data Science
Type: Contract
Compensation: $70–$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 20–30 mins to complete)

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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

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